# Architect

Architect Financial Technologies Inc is a multinational derivatives exchange group and electronic brokerage designed for the AI economy.

Architect sells inference on Liquid Inference. A buyer names one of its models as architect/\<model\>, or names the model and pays the lowest offer that meets the buyer's rules.

## Facts

- Handle: architect
- Website: https://architect.co/
- On the exchange since: 2026-09-16
- Models: 750
- Offers: 761
- Regions: us
- Precisions (declared): provider-managed
- Lowest price on: 588 of 588 models

## Reliability, last 3 days

- Probes answered: 85.47%
- Hours with an answer: 66.1%
- Median response time: 3.6s

## Checked by the exchange

7 of 761 offers match the fingerprint of the model. 0 have a finished evaluation.

The exchange sends fixed prompts to each offer and compares the answers with a baseline for the model. It also runs benchmarks against the offers and keeps the results.

## Data handling

- Zero retention, checked by the exchange
- No training, checked by the exchange

## Models

- [Abliterated Model](https://liquidinference.ai/models/abliterated-model.md): declared precision provider-managed, us, $0.998 input and $2.993 output per million tokens, $0.100 cache read per million tokens, 262.1K tokens of context
- [Abliterated: Model Large](https://liquidinference.ai/models/abliterated-model-large.md): declared precision provider-managed, us, $2.999 input and $4.998 output per million tokens, $0.300 cache read per million tokens, 1M tokens of context
- [Abliterated: Model Large Flash](https://liquidinference.ai/models/abliterated-model-large-flash.md): declared precision provider-managed, us, $1.000 input and $1.999 output per million tokens, $0.100 cache read per million tokens, 1M tokens of context
- [Abliterated: Model Large V2](https://liquidinference.ai/models/abliterated-model-large-v2.md): declared precision provider-managed, us, $2.997 input and $4.995 output per million tokens, $0.300 cache read per million tokens, 1M tokens of context
- [Aion 2.0](https://liquidinference.ai/models/aion-2.0.md): declared precision provider-managed, us, $0.799 input and $1.598 output per million tokens, $0.200 cache read per million tokens, 131.1K tokens of context
- [Aion 3.0](https://liquidinference.ai/models/aion-3.0.md): declared precision provider-managed, us, $2.995 input and $5.990 output per million tokens, $0.749 cache read per million tokens, 131.1K tokens of context
- [Aion 3.0 Mini](https://liquidinference.ai/models/aion-3.0-mini.md): declared precision provider-managed, us, $0.699 input and $1.397 output per million tokens, $0.180 cache read per million tokens, 131.1K tokens of context
- [Aion 3.5](https://liquidinference.ai/models/aion-3.5.md): declared precision provider-managed, us, $3.002 input and $6.003 output per million tokens, $0.750 cache read per million tokens, 262.1K tokens of context
- [Aion 3.5 Mini](https://liquidinference.ai/models/aion-3.5-mini.md): declared precision provider-managed, us, $0.700 input and $1.401 output per million tokens, $0.180 cache read per million tokens, 262.1K tokens of context
- [Aion: RP Llama 3.1 8B](https://liquidinference.ai/models/aion-rp-llama-3.1-8b.md): declared precision provider-managed, us, $0.800 input and $1.600 output per million tokens, $0.800 cache read per million tokens, 32.8K tokens of context
- [Alia 40B Instruct 2606](https://liquidinference.ai/models/alia-40b-instruct-2606.md): declared precision provider-managed, us, $0.299 input and $0.599 output per million tokens, $0.299 cache read per million tokens, 65.5K tokens of context
- [Amoral: Gemma 3 27B V2](https://liquidinference.ai/models/amoral-gemma3-27b-v2.md): declared precision provider-managed, us, $0.301 input and $0.301 output per million tokens, $0.301 cache read per million tokens, 32.8K tokens of context
- [Anthropic/voyage: Multilingual 2](https://liquidinference.ai/models/anthropic%2Fvoyage-multilingual-2.md): declared precision provider-managed, us, $0.120 input per million tokens, 32K tokens of context
- [Anubis 70B V1](https://liquidinference.ai/models/anubis-70b-v1.md): declared precision provider-managed, us, $0.310 input and $0.310 output per million tokens, $0.310 cache read per million tokens, 65.5K tokens of context
- [Anubis 70B V1.1](https://liquidinference.ai/models/anubis-70b-v1.1.md): declared precision provider-managed, us, $0.310 input and $0.310 output per million tokens, $0.310 cache read per million tokens, 32.8K tokens of context
- [Artemis V1.1](https://liquidinference.ai/models/artemis-v1.1.md): declared precision provider-managed, us, $0.100 input and $0.449 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Autoglm: Phone 9B Multilingual](https://liquidinference.ai/models/autoglm-phone-9b-multilingual.md): declared precision provider-managed, us, $0.035 input and $0.138 output per million tokens, $0.035 cache read per million tokens, 65.5K tokens of context
- [Base Conversationalai](https://liquidinference.ai/models/base-conversationalai.md): declared precision provider-managed, us, $0.00021 per second, 1 tokens of context
- [Base Finance](https://liquidinference.ai/models/base-finance.md): declared precision provider-managed, us, $0.00021 per second, 1 tokens of context
- [Base General](https://liquidinference.ai/models/base-general.md): declared precision provider-managed, us, $0.00021 per second, 1 tokens of context
- [Base Meeting](https://liquidinference.ai/models/base-meeting.md): declared precision provider-managed, us, $0.00021 per second, 1 tokens of context
- [Base Phonecall](https://liquidinference.ai/models/base-phonecall.md): declared precision provider-managed, us, $0.00021 per second, 1 tokens of context
- [Base Video](https://liquidinference.ai/models/base-video.md): declared precision provider-managed, us, $0.00021 per second, 1 tokens of context
- [Base Voicemail](https://liquidinference.ai/models/base-voicemail.md): declared precision provider-managed, us, $0.00021 per second, 1 tokens of context
- [Beam 1.0](https://liquidinference.ai/models/beam-1.0.md): declared precision provider-managed, us, $0.500 input and $1.500 output per million tokens, $0.050 cache read per million tokens, 1M tokens of context
- [Beam 1.0 501B a23b](https://liquidinference.ai/models/beam-1.0-501b-a23b.md): declared precision provider-managed, us, $0.401 input and $1.202 output per million tokens, $0.401 cache read per million tokens, 1M tokens of context
- [Bielik 11B V3.0 Instruct](https://liquidinference.ai/models/bielik-11b-v3.0-instruct.md): declared precision provider-managed, us, $0.479 input and $0.479 output per million tokens, $0.479 cache read per million tokens, 32.8K tokens of context
- [Celeris 1](https://liquidinference.ai/models/celeris-1.md): declared precision provider-managed, us, $2.003 input and $6.008 output per million tokens, $2.003 cache read per million tokens, 8,192 tokens of context
- [Chat Latest](https://liquidinference.ai/models/chat-latest.md): declared precision provider-managed, us, $5.008 input and $30.047 output per million tokens, $0.501 cache read per million tokens, 400K tokens of context
- [Chirp](https://liquidinference.ai/models/chirp.md): declared precision provider-managed, us, $0.000030 per character, 4,097 tokens of context
- [Chroma](https://liquidinference.ai/models/chroma.md): declared precision provider-managed, us, $0.026 per image, 32K tokens of context
- [Claude 3.7 Sonnet Latest](https://liquidinference.ai/models/claude-3.7-sonnet-latest.md): declared precision provider-managed, us, $3.295 input and $16.473 output per million tokens, $0.329 cache read per million tokens, 200K tokens of context
- [Claude 4 Opus](https://liquidinference.ai/models/claude-4-opus.md): declared precision provider-managed, us, $16.471 input and $82.356 output per million tokens, $16.471 cache read per million tokens, 200K tokens of context
- [Claude 4 Sonnet](https://liquidinference.ai/models/claude-4-sonnet.md): declared precision provider-managed, us, $3.304 input and $16.522 output per million tokens, $3.304 cache read per million tokens, 200K tokens of context
- [Claude: Fable 5](https://liquidinference.ai/models/claude-fable-5.md): declared precision provider-managed, us, $10.002 input and $50.011 output per million tokens, $1.000 cache read per million tokens, 1M tokens of context
- [Claude: Fable 5 1](https://liquidinference.ai/models/claude-fable-5-1.md): declared precision provider-managed, us, $9.995 input and $49.976 output per million tokens, $0.250 cache read per million tokens, 1M tokens of context
- [Claude: Fable Latest](https://liquidinference.ai/models/claude-fable-latest.md): declared precision provider-managed, us, $10.024 input and $50.122 output per million tokens, $0.251 cache read per million tokens, 1M tokens of context
- [Claude: Haiku 4 5](https://liquidinference.ai/models/claude-haiku-4-5.md): declared precision provider-managed, us, $1.002 input and $5.008 output per million tokens, $0.100 cache read, $1.252 cache write, $2.003 one-hour cache write per million tokens, 200K tokens of context
- [Claude: Haiku 4 5:thinking](https://liquidinference.ai/models/claude-haiku-4-5%3Athinking.md): declared precision provider-managed, us, $0.999 input and $4.994 output per million tokens, $0.100 cache read per million tokens, 200K tokens of context
- [Claude: Haiku 5 5](https://liquidinference.ai/models/claude-haiku-5-5.md): declared precision provider-managed, us, $0.100 input and $0.499 output per million tokens, $0.0100 cache read per million tokens, 100K tokens of context
- [Claude: Haiku Latest](https://liquidinference.ai/models/claude-haiku-latest.md): declared precision provider-managed, us, $0.100 input and $0.499 output per million tokens, $0.0100 cache read per million tokens, 100K tokens of context
- [Claude: Opus 4 1](https://liquidinference.ai/models/claude-opus-4-1.md): declared precision provider-managed, us, $15.029 input and $75.147 output per million tokens, $1.503 cache read per million tokens, 200K tokens of context
- [Claude: Opus 4 1:thinking](https://liquidinference.ai/models/claude-opus-4-1%3Athinking.md): declared precision provider-managed, us, $14.969 input and $74.843 output per million tokens, $1.497 cache read per million tokens, 200K tokens of context
- [Claude: Opus 4 1:thinking:1024](https://liquidinference.ai/models/claude-opus-4-1%3Athinking%3A1024.md): declared precision provider-managed, us, $15.017 input and $75.086 output per million tokens, $1.502 cache read per million tokens, 200K tokens of context
- [Claude: Opus 4 1:thinking:32768](https://liquidinference.ai/models/claude-opus-4-1%3Athinking%3A32768.md): declared precision provider-managed, us, $14.982 input and $74.911 output per million tokens, $1.498 cache read per million tokens, 200K tokens of context
- [Claude: Opus 4 1:thinking:8192](https://liquidinference.ai/models/claude-opus-4-1%3Athinking%3A8192.md): declared precision provider-managed, us, $14.972 input and $74.859 output per million tokens, $1.497 cache read per million tokens, 200K tokens of context
- [Claude: Opus 4 5](https://liquidinference.ai/models/claude-opus-4-5.md): declared precision provider-managed, us, $5.011 input and $25.055 output per million tokens, $0.501 cache read, $6.264 cache write, $10.022 one-hour cache write per million tokens, 200K tokens of context
- [Claude: Opus 4 5:thinking](https://liquidinference.ai/models/claude-opus-4-5%3Athinking.md): declared precision provider-managed, us, $5.006 input and $25.028 output per million tokens, $0.501 cache read per million tokens, 200K tokens of context
- [Claude: Opus 4 6](https://liquidinference.ai/models/claude-opus-4-6.md): declared precision provider-managed, us, $5.006 input and $25.028 output per million tokens, $0.501 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 6:thinking](https://liquidinference.ai/models/claude-opus-4-6%3Athinking.md): declared precision provider-managed, us, $5.000 input and $25.002 output per million tokens, $0.500 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 6:thinking:low](https://liquidinference.ai/models/claude-opus-4-6%3Athinking%3Alow.md): declared precision provider-managed, us, $5.006 input and $25.032 output per million tokens, $0.501 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 6:thinking:max](https://liquidinference.ai/models/claude-opus-4-6%3Athinking%3Amax.md): declared precision provider-managed, us, $5.010 input and $25.051 output per million tokens, $0.501 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 6:thinking:medium](https://liquidinference.ai/models/claude-opus-4-6%3Athinking%3Amedium.md): declared precision provider-managed, us, $5.008 input and $25.041 output per million tokens, $0.501 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 7](https://liquidinference.ai/models/claude-opus-4-7.md): declared precision provider-managed, us, $4.994 input and $24.968 output per million tokens, $0.499 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 7:thinking](https://liquidinference.ai/models/claude-opus-4-7%3Athinking.md): declared precision provider-managed, us, $5.000 input and $24.999 output per million tokens, $0.500 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 8](https://liquidinference.ai/models/claude-opus-4-8.md): declared precision provider-managed, us, $4.992 input and $24.961 output per million tokens, $0.499 cache read per million tokens, 1M tokens of context
- [Claude: Opus 4 8:thinking](https://liquidinference.ai/models/claude-opus-4-8%3Athinking.md): declared precision provider-managed, us, $4.989 input and $24.945 output per million tokens, $0.499 cache read per million tokens, 1M tokens of context
- [Claude: Opus 5](https://liquidinference.ai/models/claude-opus-5.md): declared precision provider-managed, us, $4.996 input and $24.980 output per million tokens, $0.500 cache read per million tokens, 1M tokens of context
- [Claude: Opus 5 5](https://liquidinference.ai/models/claude-opus-5-5.md): declared precision provider-managed, us, $4.002 input and $20.011 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Claude: Opus Latest](https://liquidinference.ai/models/claude-opus-latest.md): declared precision provider-managed, us, $4.000 input and $19.998 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Claude: Sonnet 4 5](https://liquidinference.ai/models/claude-sonnet-4-5.md): declared precision provider-managed, us, $3.003 input and $15.017 output per million tokens, $0.300 cache read per million tokens, 200K tokens of context
- [Claude: Sonnet 4 5:thinking](https://liquidinference.ai/models/claude-sonnet-4-5%3Athinking.md): declared precision provider-managed, us, $3.006 input and $15.030 output per million tokens, $0.301 cache read per million tokens, 200K tokens of context
- [Claude: Sonnet 4 6](https://liquidinference.ai/models/claude-sonnet-4-6.md): declared precision provider-managed, us, $3.004 input and $15.022 output per million tokens, $0.300 cache read per million tokens, 1M tokens of context
- [Claude: Sonnet 4 6:thinking](https://liquidinference.ai/models/claude-sonnet-4-6%3Athinking.md): declared precision provider-managed, us, $2.998 input and $14.990 output per million tokens, $0.300 cache read per million tokens, 1M tokens of context
- [Claude: Sonnet 5](https://liquidinference.ai/models/claude-sonnet-5.md): declared precision provider-managed, us, $2.002 input and $10.011 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Claude: Sonnet 5 5](https://liquidinference.ai/models/claude-sonnet-5-5.md): declared precision provider-managed, us, $1.997 input and $9.987 output per million tokens, $0.100 cache read per million tokens, 1M tokens of context
- [Claude: Sonnet 5 5:thinking](https://liquidinference.ai/models/claude-sonnet-5-5%3Athinking.md): declared precision provider-managed, us, $1.998 input and $9.988 output per million tokens, $0.100 cache read per million tokens, 1M tokens of context
- [Claude: Sonnet 5:thinking](https://liquidinference.ai/models/claude-sonnet-5%3Athinking.md): declared precision provider-managed, us, $1.996 input and $9.980 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Claude: Sonnet Latest](https://liquidinference.ai/models/claude-sonnet-latest.md): declared precision provider-managed, us, $1.998 input and $9.990 output per million tokens, $0.100 cache read per million tokens, 1M tokens of context
- [Claw High](https://liquidinference.ai/models/claw-high.md): declared precision provider-managed, us, $0.599 input and $1.099 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Claw Low](https://liquidinference.ai/models/claw-low.md): declared precision provider-managed, us, $0.600 input and $1.100 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Claw Medium](https://liquidinference.ai/models/claw-medium.md): declared precision provider-managed, us, $0.599 input and $1.099 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Codestral 2405](https://liquidinference.ai/models/codestral-2405.md): declared precision provider-managed, us, $1.002 input and $3.006 output per million tokens, $1.002 cache read per million tokens, 32K tokens of context
- [Codestral 2508](https://liquidinference.ai/models/codestral-2508.md): declared precision provider-managed, us, $0.300 input and $0.899 output per million tokens, $0.300 cache read per million tokens, 256K tokens of context
- [Coding Router](https://liquidinference.ai/models/coding-router.md): declared precision provider-managed, us, $1.101 input and $2.202 output per million tokens, $0.110 cache read per million tokens, 1M tokens of context
- [Coding Router:high](https://liquidinference.ai/models/coding-router%3Ahigh.md): declared precision provider-managed, us, $1.102 input and $2.203 output per million tokens, $0.110 cache read per million tokens, 1M tokens of context
- [Coding Router:low](https://liquidinference.ai/models/coding-router%3Alow.md): declared precision provider-managed, us, $0.140 input and $0.280 output per million tokens, $0.028 cache read per million tokens, 1M tokens of context
- [Coding Router:max](https://liquidinference.ai/models/coding-router%3Amax.md): declared precision provider-managed, us, $4.995 input and $29.968 output per million tokens, $0.499 cache read per million tokens, 1M tokens of context
- [Coding Router:medium](https://liquidinference.ai/models/coding-router%3Amedium.md): declared precision provider-managed, us, $0.140 input and $0.280 output per million tokens, $0.028 cache read per million tokens, 1M tokens of context
- [Cogito V1 Preview Qwen 32B](https://liquidinference.ai/models/cogito-v1-preview-qwen-32b.md): declared precision provider-managed, us, $1.801 input and $1.801 output per million tokens, $1.801 cache read per million tokens, 128K tokens of context
- [Command A Reasoning 08 2025](https://liquidinference.ai/models/command-a-reasoning-08-2025.md): declared precision provider-managed, us, $2.500 input and $9.999 output per million tokens, $2.500 cache read per million tokens, 256K tokens of context
- [Command R Plus 08 2024](https://liquidinference.ai/models/command-r-plus-08-2024.md): declared precision provider-managed, us, $2.856 input and $14.248 output per million tokens, $2.856 cache read per million tokens, 128K tokens of context
- [Cyberheabsy](https://liquidinference.ai/models/cyberheabsy.md): declared precision provider-managed, us, $1.498 input and $4.493 output per million tokens, $0.275 cache read per million tokens, 1M tokens of context
- [Cydonia 24B V2](https://liquidinference.ai/models/cydonia-24b-v2.md): declared precision provider-managed, us, $0.100 input and $0.121 output per million tokens, $0.100 cache read per million tokens, 32.8K tokens of context
- [Cydonia 24B V4](https://liquidinference.ai/models/cydonia-24b-v4.md): declared precision provider-managed, us, $0.201 input and $0.242 output per million tokens, $0.201 cache read per million tokens, 32.8K tokens of context
- [Cydonia 24B V4.1](https://liquidinference.ai/models/cydonia-24b-v4.1.md): declared precision provider-managed, us, $0.300 input and $0.500 output per million tokens, $0.150 cache read per million tokens, 131.1K tokens of context
- [Cydonia 24B V4.3](https://liquidinference.ai/models/cydonia-24b-v4.3.md): declared precision provider-managed, us, $0.120 input and $0.150 output per million tokens, $0.120 cache read per million tokens, 65.5K tokens of context
- [DeepSeek Chat](https://liquidinference.ai/models/deepseek-chat.md): declared precision provider-managed, us, $0.150 input and $0.600 output per million tokens, $0.0030 cache read per million tokens, 131.1K tokens of context
- [DeepSeek Latest](https://liquidinference.ai/models/deepseek-latest.md): declared precision provider-managed, us, $0.659 input and $1.978 output per million tokens, $0.022 cache read per million tokens, 1M tokens of context
- [DeepSeek R1](https://liquidinference.ai/models/deepseek-r1.md): declared precision provider-managed, us, $0.699 input and $2.397 output per million tokens, $0.699 cache read per million tokens, 163.8K tokens of context
- [DeepSeek R1 0528](https://liquidinference.ai/models/deepseek-r1-0528.md): declared precision provider-managed, us, $0.499 input and $2.147 output per million tokens, $0.499 cache read per million tokens, 163.8K tokens of context
- [DeepSeek R1 0528 Turbo](https://liquidinference.ai/models/deepseek-r1-0528-turbo.md): declared precision provider-managed, us, $0.999 input and $2.997 output per million tokens, $0.999 cache read per million tokens, 32.8K tokens of context
- [DeepSeek R1 Distill Llama 70B Abliterated](https://liquidinference.ai/models/deepseek-r1-distill-llama-70b-abliterated.md): declared precision provider-managed, us, $0.701 input and $0.701 output per million tokens, $0.701 cache read per million tokens, 16.4K tokens of context
- [DeepSeek R1 Distill Qwen 32B](https://liquidinference.ai/models/deepseek-r1-distill-qwen-32b.md): declared precision provider-managed, us, $0.270 input and $0.270 output per million tokens, $0.270 cache read per million tokens, 131.1K tokens of context
- [DeepSeek R1 Distill Qwen 32B Abliterated](https://liquidinference.ai/models/deepseek-r1-distill-qwen-32b-abliterated.md): declared precision provider-managed, us, $1.397 input and $1.397 output per million tokens, $1.397 cache read per million tokens, 16.4K tokens of context
- [DeepSeek R1 Turbo](https://liquidinference.ai/models/deepseek-r1-turbo.md): declared precision provider-managed, us, $1.001 input and $3.002 output per million tokens, $1.001 cache read per million tokens, 41K tokens of context
- [DeepSeek Reasoner](https://liquidinference.ai/models/deepseek-reasoner.md): declared precision provider-managed, us, $0.150 input and $0.599 output per million tokens, $0.0030 cache read per million tokens, 131.1K tokens of context
- [DeepSeek V3](https://liquidinference.ai/models/deepseek-v3.md): declared precision provider-managed, us, $0.321 input and $0.892 output per million tokens, $0.321 cache read per million tokens, 163.8K tokens of context
- [DeepSeek V3 0324](https://liquidinference.ai/models/deepseek-v3-0324.md): declared precision provider-managed, us, $0.200 input and $0.770 output per million tokens, $0.135 cache read per million tokens, 128K tokens of context
- [DeepSeek V3.1](https://liquidinference.ai/models/deepseek-v3.1.md): declared precision provider-managed, us, $0.200 input and $0.701 output per million tokens, $0.200 cache read per million tokens, 128K tokens of context
- [DeepSeek V3.1 Terminus](https://liquidinference.ai/models/deepseek-v3.1-terminus.md): declared precision provider-managed, us, $0.250 input and $0.701 output per million tokens, $0.250 cache read per million tokens, 128K tokens of context
- [DeepSeek V3.1 Terminus:thinking](https://liquidinference.ai/models/deepseek-v3.1-terminus%3Athinking.md): declared precision provider-managed, us, $0.250 input and $0.700 output per million tokens, $0.250 cache read per million tokens, 128K tokens of context
- [DeepSeek v3.1:thinking](https://liquidinference.ai/models/deepseek-v3.1%3Athinking.md): declared precision provider-managed, us, $0.200 input and $0.701 output per million tokens, $0.200 cache read per million tokens, 128K tokens of context
- [DeepSeek V3.2 Exp](https://liquidinference.ai/models/deepseek-v3.2-exp.md): declared precision provider-managed, us, $0.280 input and $0.420 output per million tokens, $0.280 cache read per million tokens, 163.8K tokens of context
- [DeepSeek V3.2 Exp Thinking](https://liquidinference.ai/models/deepseek-v3.2-exp-thinking.md): declared precision provider-managed, us, $0.280 input and $0.420 output per million tokens, $0.280 cache read per million tokens, 163.8K tokens of context
- [DeepSeek v3.2:thinking](https://liquidinference.ai/models/deepseek-v3.2%3Athinking.md): declared precision provider-managed, us, $0.208 input and $0.309 output per million tokens, $0.022 cache read per million tokens, 163K tokens of context
- [DeepSeek V4 Flash 0423](https://liquidinference.ai/models/deepseek-v4-flash-0423.md): declared precision provider-managed, us, $0.140 input and $0.280 output per million tokens, $0.028 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Flash 0423:thinking](https://liquidinference.ai/models/deepseek-v4-flash-0423%3Athinking.md): declared precision provider-managed, us, $0.140 input and $0.280 output per million tokens, $0.028 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Flash Latest](https://liquidinference.ai/models/deepseek-v4-flash-latest.md): declared precision provider-managed, us, $0.100 input and $0.599 output per million tokens, $0.0042 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Flash Vision Exp](https://liquidinference.ai/models/deepseek-v4-flash-vision-exp.md): declared precision provider-managed, us, $0.215 input and $0.645 output per million tokens, $0.0068 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Flash:thinking](https://liquidinference.ai/models/deepseek-v4-flash%3Athinking.md): declared precision provider-managed, us, $0.140 input and $0.280 output per million tokens, $0.0028 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Pro 0813:thinking](https://liquidinference.ai/models/deepseek-v4-pro-0813%3Athinking.md): declared precision provider-managed, us, $0.661 input and $1.982 output per million tokens, $0.022 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Pro:thinking](https://liquidinference.ai/models/deepseek-v4-pro%3Athinking.md): declared precision provider-managed, us, $0.701 input and $1.403 output per million tokens, $0.070 cache read per million tokens, 1M tokens of context
- [DeepSeek V4.1 Flash 1017 Heretic](https://liquidinference.ai/models/deepseek-v4.1-flash-1017-heretic.md): declared precision provider-managed, us, $0.198 input and $0.793 output per million tokens, $0.013 cache read per million tokens, 512K tokens of context
- [DeepSeek V4.1 Flash 1017 Heretic:thinking](https://liquidinference.ai/models/deepseek-v4.1-flash-1017-heretic%3Athinking.md): declared precision provider-managed, us, $0.198 input and $0.791 output per million tokens, $0.013 cache read per million tokens, 512K tokens of context
- [DeepSeek: Chat Cheaper](https://liquidinference.ai/models/deepseek-chat-cheaper.md): declared precision provider-managed, us, $0.200 input and $0.769 output per million tokens, $0.135 cache read per million tokens, 128K tokens of context
- [Devstral 2 123B Instruct 2512](https://liquidinference.ai/models/devstral-2-123b-instruct-2512.md): declared precision provider-managed, us, $0.400 input and $1.399 output per million tokens, $0.400 cache read per million tokens, 262.1K tokens of context
- [Devstral: Small 2505](https://liquidinference.ai/models/devstral-small-2505.md): declared precision provider-managed, us, $0.060 input and $0.060 output per million tokens, $0.060 cache read per million tokens, 32.8K tokens of context
- [Devstral: Small Latest](https://liquidinference.ai/models/devstral-small-latest.md): declared precision provider-managed, us, $0.100 input and $0.300 output per million tokens, $0.100 cache read per million tokens, 256K tokens of context
- [Diffusiongemma](https://liquidinference.ai/models/diffusiongemma.md): declared precision provider-managed, us, $0.050 input and $0.150 output per million tokens, $0.025 cache read per million tokens, 262.1K tokens of context
- [Doubao: Seed 2.0 Code Preview 260215](https://liquidinference.ai/models/doubao-seed-2.0-code-preview-260215.md): declared precision provider-managed, us, $0.784 input and $3.902 output per million tokens, $0.784 cache read per million tokens, 128K tokens of context
- [Doubao: Seed 2.0 Lite 260215](https://liquidinference.ai/models/doubao-seed-2.0-lite-260215.md): declared precision provider-managed, us, $0.250 input and $2.001 output per million tokens, $0.250 cache read per million tokens, 128K tokens of context
- [Doubao: Seed 2.0 Mini 260215](https://liquidinference.ai/models/doubao-seed-2.0-mini-260215.md): declared precision provider-managed, us, $0.100 input and $0.483 output per million tokens, $0.100 cache read per million tokens, 128K tokens of context
- [Doubao: Seed 2.0 Pro 260215](https://liquidinference.ai/models/doubao-seed-2.0-pro-260215.md): declared precision provider-managed, us, $0.782 input and $3.878 output per million tokens, $0.782 cache read per million tokens, 256K tokens of context
- [Doubao: Seed Character](https://liquidinference.ai/models/doubao-seed-character.md): declared precision provider-managed, us, $0.150 input and $0.370 output per million tokens, $0.030 cache read per million tokens, 32K tokens of context
- [Dracarys 72B Instruct](https://liquidinference.ai/models/dracarys-72b-instruct.md): declared precision provider-managed, us, $0.492 input and $0.492 output per million tokens, $0.492 cache read per million tokens, 32.8K tokens of context
- [Dreamshaper Xl](https://liquidinference.ai/models/dreamshaper-xl.md): declared precision provider-managed, us, $0.0051 per image, 32K tokens of context
- [eleven_flash_v2](https://liquidinference.ai/models/eleven_flash_v2.md): declared precision provider-managed, us, $0.000040 per character, 4,097 tokens of context
- [eleven_flash_v2_5](https://liquidinference.ai/models/eleven_flash_v2_5.md): declared precision provider-managed, us, $0.000040 per character, 4,097 tokens of context
- [eleven_multilingual_v2](https://liquidinference.ai/models/eleven_multilingual_v2.md): declared precision provider-managed, us, $0.000080 per character, 4,097 tokens of context
- [eleven_turbo_v2](https://liquidinference.ai/models/eleven_turbo_v2.md): declared precision provider-managed, us, $0.000040 per character, 4,097 tokens of context
- [eleven_turbo_v2_5](https://liquidinference.ai/models/eleven_turbo_v2_5.md): declared precision provider-managed, us, $0.000040 per character, 4,097 tokens of context
- [eleven_v3](https://liquidinference.ai/models/eleven_v3.md): declared precision provider-managed, us, $0.000080 per character, 4,097 tokens of context
- [eleven_v3_conversational](https://liquidinference.ai/models/eleven_v3_conversational.md): declared precision provider-managed, us, $0.000040 per character, 4,097 tokens of context
- [eleven_v4](https://liquidinference.ai/models/eleven_v4.md): declared precision provider-managed, us, $0.000080 per character, 4,097 tokens of context
- [eleven_v4_turbo](https://liquidinference.ai/models/eleven_v4_turbo.md): declared precision provider-managed, us, $0.000040 per character, 4,097 tokens of context
- [Ember 1](https://liquidinference.ai/models/ember-1.md): declared precision provider-managed, us, $3.006 input and $15.031 output per million tokens, $0.301 cache read per million tokens, 1M tokens of context
- [Enhanced](https://liquidinference.ai/models/enhanced.md): declared precision provider-managed, us, $0.00024 per second, 1 tokens of context
- [Enhanced Finance](https://liquidinference.ai/models/enhanced-finance.md): declared precision provider-managed, us, $0.00024 per second, 1 tokens of context
- [Enhanced General](https://liquidinference.ai/models/enhanced-general.md): declared precision provider-managed, us, $0.00024 per second, 1 tokens of context
- [Enhanced Meeting](https://liquidinference.ai/models/enhanced-meeting.md): declared precision provider-managed, us, $0.00024 per second, 1 tokens of context
- [Enhanced Phonecall](https://liquidinference.ai/models/enhanced-phonecall.md): declared precision provider-managed, us, $0.00024 per second, 1 tokens of context
- [Ernie 5.0](https://liquidinference.ai/models/ernie-5.0.md): declared precision provider-managed, us, $1.399 input and $5.596 output per million tokens, $1.399 cache read per million tokens, 128K tokens of context
- [Eva: Llama 3.33 70B V0.0](https://liquidinference.ai/models/eva-llama-3.33-70b-v0.0.md): declared precision provider-managed, us, $2.006 input and $2.006 output per million tokens, $2.006 cache read per million tokens, 32.8K tokens of context
- [Eva: Llama 3.33 70B V0.1](https://liquidinference.ai/models/eva-llama-3.33-70b-v0.1.md): declared precision provider-managed, us, $2.002 input and $2.002 output per million tokens, $2.002 cache read per million tokens, 32.8K tokens of context
- [Eva: Qwen 2.5 32B V0.2](https://liquidinference.ai/models/eva-qwen2.5-32b-v0.2.md): declared precision provider-managed, us, $0.799 input and $0.799 output per million tokens, $0.799 cache read per million tokens, 16.4K tokens of context
- [Eva: Qwen 2.5 72B V0.2](https://liquidinference.ai/models/eva-qwen2.5-72b-v0.2.md): declared precision provider-managed, us, $0.799 input and $0.799 output per million tokens, $0.799 cache read per million tokens, 16.4K tokens of context
- [Fast Sdxl](https://liquidinference.ai/models/fast-sdxl.md): declared precision provider-managed, us, $0.0051 per image, 32K tokens of context
- [Fluently Xl](https://liquidinference.ai/models/fluently-xl.md): declared precision provider-managed, us, $0.0051 per image, 32K tokens of context
- [Flux 2 Dev](https://liquidinference.ai/models/flux-2-dev.md): declared precision provider-managed, us, $0.020 per image, 32K tokens of context
- [Flux 2 Klein Base 4B](https://liquidinference.ai/models/flux-2-klein-base-4b.md): declared precision provider-managed, us, $0.010 per image, 32K tokens of context
- [Flux 2 Klein Base 9B](https://liquidinference.ai/models/flux-2-klein-base-9b.md): declared precision provider-managed, us, $0.015 per image, 32K tokens of context
- [Flux 2 Pro](https://liquidinference.ai/models/flux-2-pro.md): declared precision provider-managed, us, $0.051 per image, 32K tokens of context
- [Flux Dev](https://liquidinference.ai/models/flux-dev.md): declared precision provider-managed, us, $0.025 per image, 32K tokens of context
- [Flux: Kontext Max](https://liquidinference.ai/models/flux-kontext-max.md): declared precision provider-managed, us, $0.080 per image, 32K tokens of context
- [Flux: Kontext Pro](https://liquidinference.ai/models/flux-kontext-pro.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Flux: Pro 1.1](https://liquidinference.ai/models/flux-pro-1.1.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Flux: Pro 1.1 Ultra](https://liquidinference.ai/models/flux-pro-1.1-ultra.md): declared precision provider-managed, us, $0.060 per image, 32K tokens of context
- [Flux: Pro V1.1](https://liquidinference.ai/models/flux-pro-v1.1.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Flux: Pro V1.1 Ultra](https://liquidinference.ai/models/flux-pro-v1.1-ultra.md): declared precision provider-managed, us, $0.060 per image, 32K tokens of context
- [Fugu Max](https://liquidinference.ai/models/fugu-max.md): declared precision provider-managed, us, $2.000 input and $6.001 output per million tokens, $0.250 cache read per million tokens, 1M tokens of context
- [Fugu Ultra](https://liquidinference.ai/models/fugu-ultra.md): declared precision provider-managed, us, $5.002 input and $30.009 output per million tokens, $0.500 cache read per million tokens, 272K tokens of context
- [Fugu: Ultra V1.1](https://liquidinference.ai/models/fugu-ultra-v1.1.md): declared precision provider-managed, us, $5.000 input and $29.997 output per million tokens, $0.500 cache read per million tokens, 272K tokens of context
- [Gemini 2.0 Pro Exp 02 05](https://liquidinference.ai/models/gemini-2.0-pro-exp-02-05.md): declared precision provider-managed, us, $1.987 input and $9.988 output per million tokens, $0.497 cache read per million tokens, 200K tokens of context
- [Gemini 2.0 Pro Reasoner](https://liquidinference.ai/models/gemini-2.0-pro-reasoner.md): declared precision provider-managed, us, $1.294 input and $10.013 output per million tokens, $0.323 cache read per million tokens, 128K tokens of context
- [Gemini 2.5 Flash](https://liquidinference.ai/models/gemini-2.5-flash.md): declared precision provider-managed, us, $0.299 input and $2.495 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Image](https://liquidinference.ai/models/gemini-2.5-flash-image.md): declared precision provider-managed, us, $0.300 input and $30.015 output per million tokens, $0.030 cache read, $0.083 cache write per million tokens, 32.8K tokens of context
- [Gemini 2.5 Flash Lite](https://liquidinference.ai/models/gemini-2.5-flash-lite.md): declared precision provider-managed, us, $0.100 input and $0.399 output per million tokens, $0.0100 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Lite Preview 06 17](https://liquidinference.ai/models/gemini-2.5-flash-lite-preview-06-17.md): declared precision provider-managed, us, $0.150 input and $0.601 output per million tokens, $0.015 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Lite Preview 09 2025](https://liquidinference.ai/models/gemini-2.5-flash-lite-preview-09-2025.md): declared precision provider-managed, us, $0.100 input and $0.401 output per million tokens, $0.010 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Lite Preview 09 2025 Thinking](https://liquidinference.ai/models/gemini-2.5-flash-lite-preview-09-2025-thinking.md): declared precision provider-managed, us, $0.150 input and $0.599 output per million tokens, $0.015 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Nothinking](https://liquidinference.ai/models/gemini-2.5-flash-nothinking.md): declared precision provider-managed, us, $0.299 input and $2.495 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Preview 04 17](https://liquidinference.ai/models/gemini-2.5-flash-preview-04-17.md): declared precision provider-managed, us, $0.299 input and $2.495 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Preview 04 17:thinking](https://liquidinference.ai/models/gemini-2.5-flash-preview-04-17%3Athinking.md): declared precision provider-managed, us, $0.301 input and $3.506 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Preview 05 20](https://liquidinference.ai/models/gemini-2.5-flash-preview-05-20.md): declared precision provider-managed, us, $0.300 input and $2.499 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Preview 05 20:thinking](https://liquidinference.ai/models/gemini-2.5-flash-preview-05-20%3Athinking.md): declared precision provider-managed, us, $0.300 input and $3.498 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Preview 09 2025](https://liquidinference.ai/models/gemini-2.5-flash-preview-09-2025.md): declared precision provider-managed, us, $0.300 input and $2.498 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Flash Preview 09 2025 Thinking](https://liquidinference.ai/models/gemini-2.5-flash-preview-09-2025-thinking.md): declared precision provider-managed, us, $0.301 input and $2.505 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Pro](https://liquidinference.ai/models/gemini-2.5-pro.md): declared precision provider-managed, us, $1.248 input and $9.981 output per million tokens, $0.125 cache read per million tokens, 200K tokens of context
- [Gemini 2.5 Pro Exp 03 25](https://liquidinference.ai/models/gemini-2.5-pro-exp-03-25.md): declared precision provider-managed, us, $2.504 input and $10.017 output per million tokens, $0.250 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Pro Preview 03 25](https://liquidinference.ai/models/gemini-2.5-pro-preview-03-25.md): declared precision provider-managed, us, $2.504 input and $10.014 output per million tokens, $0.250 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Pro Preview 05 06](https://liquidinference.ai/models/gemini-2.5-pro-preview-05-06.md): declared precision provider-managed, us, $2.506 input and $10.023 output per million tokens, $0.251 cache read per million tokens, 1M tokens of context
- [Gemini 2.5 Pro Preview 06 05](https://liquidinference.ai/models/gemini-2.5-pro-preview-06-05.md): declared precision provider-managed, us, $2.502 input and $10.009 output per million tokens, $0.250 cache read per million tokens, 200K tokens of context
- [Gemini 3 Flash Preview](https://liquidinference.ai/models/gemini-3-flash-preview.md): declared precision provider-managed, us, $0.500 input and $3.001 output per million tokens, $0.050 cache read, $0.083 cache write per million tokens, 1M tokens of context
- [Gemini 3 Flash Preview Thinking](https://liquidinference.ai/models/gemini-3-flash-preview-thinking.md): declared precision provider-managed, us, $0.499 input and $2.994 output per million tokens, $0.050 cache read per million tokens, 1M tokens of context
- [Gemini 3 Pro Image Preview](https://liquidinference.ai/models/gemini-3-pro-image-preview.md): declared precision provider-managed, us, $2.003 input and $120.186 output per million tokens, $0.200 cache read, $0.376 cache write per million tokens, 65.5K tokens of context
- [Gemini 3.1 Flash Image Preview](https://liquidinference.ai/models/gemini-3.1-flash-image-preview.md): declared precision provider-managed, us, $0.500 input and $59.976 output per million tokens, $0.500 cache read per million tokens, 65.5K tokens of context
- [Gemini 3.1 Flash Lite](https://liquidinference.ai/models/gemini-3.1-flash-lite.md): declared precision provider-managed, us, $0.250 input and $1.499 output per million tokens, $0.025 cache read, $0.083 cache write per million tokens, 1M tokens of context
- [Gemini 3.1 Flash Lite Preview](https://liquidinference.ai/models/gemini-3.1-flash-lite-preview.md): declared precision provider-managed, us, $0.250 input and $1.501 output per million tokens, $0.025 cache read, $0.083 cache write per million tokens, 1M tokens of context
- [Gemini 3.1 Pro Preview](https://liquidinference.ai/models/gemini-3.1-pro-preview.md): declared precision provider-managed, us, $2.005 input and $12.027 output per million tokens, $0.200 cache read, $0.376 cache write per million tokens, 200K tokens of context
- [Gemini 3.1 Pro Preview Customtools](https://liquidinference.ai/models/gemini-3.1-pro-preview-customtools.md): declared precision provider-managed, us, $1.997 input and $11.981 output per million tokens, $0.200 cache read, $0.374 cache write per million tokens, 200K tokens of context
- [Gemini 3.1 Pro Preview High](https://liquidinference.ai/models/gemini-3.1-pro-preview-high.md): declared precision provider-managed, us, $2.002 input and $12.009 output per million tokens, $0.200 cache read per million tokens, 200K tokens of context
- [Gemini 3.1 Pro Preview Low](https://liquidinference.ai/models/gemini-3.1-pro-preview-low.md): declared precision provider-managed, us, $2.001 input and $12.004 output per million tokens, $0.200 cache read per million tokens, 200K tokens of context
- [Gemini 3.5 Flash](https://liquidinference.ai/models/gemini-3.5-flash.md): declared precision provider-managed, us, $1.497 input and $8.979 output per million tokens, $0.150 cache read, $0.083 cache write per million tokens, 1M tokens of context
- [Gemini 3.5 Flash Lite](https://liquidinference.ai/models/gemini-3.5-flash-lite.md): declared precision provider-managed, us, $0.300 input and $2.501 output per million tokens, $0.030 cache read, $0.083 cache write per million tokens, 1M tokens of context
- [Gemini 3.5 Flash Thinking](https://liquidinference.ai/models/gemini-3.5-flash-thinking.md): declared precision provider-managed, us, $1.498 input and $8.989 output per million tokens, $0.150 cache read per million tokens, 1M tokens of context
- [Gemini 3.6 Flash](https://liquidinference.ai/models/gemini-3.6-flash.md): declared precision provider-managed, us, $0.750 input and $3.749 output per million tokens, $0.075 cache read, $0.042 cache write per million tokens, 1M tokens of context
- [Gemini 3.7 Flash](https://liquidinference.ai/models/gemini-3.7-flash.md): declared precision provider-managed, us, $0.751 input and $3.756 output per million tokens, $0.075 cache read, $0.042 cache write per million tokens, 1M tokens of context
- [Gemini 3.8 Flash](https://liquidinference.ai/models/gemini-3.8-flash.md): declared precision provider-managed, us, $0.748 input and $3.742 output per million tokens, $0.075 cache read, $0.042 cache write per million tokens, 1M tokens of context
- [Gemini: Embedding 001](https://liquidinference.ai/models/gemini-embedding-001.md): declared precision provider-managed, us, $0.150 input per million tokens, 8,192 tokens of context
- [Gemini: Embedding 2 Preview](https://liquidinference.ai/models/gemini-embedding-2-preview.md): declared precision provider-managed, us, $0.200 input per million tokens, 8,192 tokens of context
- [Gemini: Exp 1206](https://liquidinference.ai/models/gemini-exp-1206.md): declared precision provider-managed, us, $1.258 input and $10.000 output per million tokens, $0.629 cache read per million tokens, 200K tokens of context
- [Gemini: Flash Latest](https://liquidinference.ai/models/gemini-flash-latest.md): declared precision provider-managed, us, $0.751 input and $3.757 output per million tokens, $0.075 cache read per million tokens, 1M tokens of context
- [Gemini: Flash Lite Latest](https://liquidinference.ai/models/gemini-flash-lite-latest.md): declared precision provider-managed, us, $0.300 input and $2.501 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Gemini: Pro Latest](https://liquidinference.ai/models/gemini-pro-latest.md): declared precision provider-managed, us, $1.997 input and $11.982 output per million tokens, $0.200 cache read per million tokens, 200K tokens of context
- [Gemma 3 12B It](https://liquidinference.ai/models/gemma-3-12b-it.md): declared precision provider-managed, us, $0.271 input and $0.271 output per million tokens, $0.271 cache read per million tokens, 131.1K tokens of context
- [Gemma 3 4B It](https://liquidinference.ai/models/gemma-3-4b-it.md): declared precision provider-managed, us, $0.201 input and $0.201 output per million tokens, $0.201 cache read per million tokens, 128K tokens of context
- [Gemma 4 12B It](https://liquidinference.ai/models/gemma-4-12b-it.md): declared precision provider-managed, us, $0.050 input and $0.250 output per million tokens, $0.025 cache read per million tokens, 131.1K tokens of context
- [Gemma 4 12B It Semancer](https://liquidinference.ai/models/gemma-4-12b-it-semancer.md): declared precision provider-managed, us, $0.050 input and $0.250 output per million tokens, $0.025 cache read per million tokens, 131.1K tokens of context
- [Gemma 4 12B It Starry Ocean](https://liquidinference.ai/models/gemma-4-12b-it-starry-ocean.md): declared precision provider-managed, us, $0.050 input and $0.250 output per million tokens, $0.025 cache read per million tokens, 131.1K tokens of context
- [Gemma 4 12B It Station Keeper](https://liquidinference.ai/models/gemma-4-12b-it-station-keeper.md): declared precision provider-managed, us, $0.050 input and $0.250 output per million tokens, $0.025 cache read per million tokens, 131.1K tokens of context
- [Gemma 4 26B a4b It Chimerax](https://liquidinference.ai/models/gemma-4-26b-a4b-it-chimerax.md): declared precision provider-managed, us, $0.120 input and $0.380 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Chimeraxheretic](https://liquidinference.ai/models/gemma-4-26b-a4b-it-chimeraxheretic.md): declared precision provider-managed, us, $0.120 input and $0.379 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Cybersecurity](https://liquidinference.ai/models/gemma-4-26b-a4b-it-cybersecurity.md): declared precision provider-managed, us, $0.106 input and $0.335 output per million tokens, $0.053 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Darksoul](https://liquidinference.ai/models/gemma-4-26b-a4b-it-darksoul.md): declared precision provider-managed, us, $0.120 input and $0.381 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Luminous](https://liquidinference.ai/models/gemma-4-26b-a4b-it-luminous.md): declared precision provider-managed, us, $0.120 input and $0.379 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Moonlight](https://liquidinference.ai/models/gemma-4-26b-a4b-it-moonlight.md): declared precision provider-managed, us, $0.120 input and $0.379 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Musica](https://liquidinference.ai/models/gemma-4-26b-a4b-it-musica.md): declared precision provider-managed, us, $0.120 input and $0.379 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Opusdistill](https://liquidinference.ai/models/gemma-4-26b-a4b-it-opusdistill.md): declared precision provider-managed, us, $0.120 input and $0.381 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It Shadowsiren](https://liquidinference.ai/models/gemma-4-26b-a4b-it-shadowsiren.md): declared precision provider-managed, us, $0.120 input and $0.380 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b It:thinking](https://liquidinference.ai/models/gemma-4-26b-a4b-it%3Athinking.md): declared precision provider-managed, us, $0.033 input and $0.100 output per million tokens, $0.017 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b Meromero](https://liquidinference.ai/models/gemma-4-26b-a4b-meromero.md): declared precision provider-managed, us, $0.120 input and $0.380 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 26B a4b Meromero:thinking](https://liquidinference.ai/models/gemma-4-26b-a4b-meromero%3Athinking.md): declared precision provider-managed, us, $0.120 input and $0.380 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Agares V1](https://liquidinference.ai/models/gemma-4-31b-agares-v1.md): declared precision provider-managed, us, $0.305 input and $0.305 output per million tokens, $0.305 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Animus V14.1](https://liquidinference.ai/models/gemma-4-31b-animus-v14.1.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Assguard](https://liquidinference.ai/models/gemma-4-31b-assguard.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Claude 4.6 Opus Reasoning Distilled](https://liquidinference.ai/models/gemma-4-31b-claude-4.6-opus-reasoning-distilled.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.031 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Cognitive Unshackled](https://liquidinference.ai/models/gemma-4-31b-cognitive-unshackled.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Dark Gemistry](https://liquidinference.ai/models/gemma-4-31b-dark-gemistry.md): declared precision provider-managed, us, $0.305 input and $0.305 output per million tokens, $0.305 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Darkidol](https://liquidinference.ai/models/gemma-4-31b-darkidol.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Fabled](https://liquidinference.ai/models/gemma-4-31b-fabled.md): declared precision provider-managed, us, $0.305 input and $0.305 output per million tokens, $0.305 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Garnetv 2](https://liquidinference.ai/models/gemma-4-31b-garnetv2.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Gembrain Uncensored Heretic](https://liquidinference.ai/models/gemma-4-31b-gembrain-uncensored-heretic.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Gembrain X Core](https://liquidinference.ai/models/gemma-4-31b-gembrain-x-core.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Isometry RP](https://liquidinference.ai/models/gemma-4-31b-isometry-rp.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Darkidol](https://liquidinference.ai/models/gemma-4-31b-it-darkidol.md): declared precision provider-managed, us, $0.100 input and $0.450 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Fabled](https://liquidinference.ai/models/gemma-4-31b-it-fabled.md): declared precision provider-managed, us, $0.100 input and $0.450 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Garnet](https://liquidinference.ai/models/gemma-4-31b-it-garnet.md): declared precision provider-managed, us, $0.100 input and $0.449 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Gembrain](https://liquidinference.ai/models/gemma-4-31b-it-gembrain.md): declared precision provider-managed, us, $0.100 input and $0.449 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Gemsicle](https://liquidinference.ai/models/gemma-4-31b-it-gemsicle.md): declared precision provider-managed, us, $0.100 input and $0.449 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Isometry](https://liquidinference.ai/models/gemma-4-31b-it-isometry.md): declared precision provider-managed, us, $0.100 input and $0.449 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Novelist](https://liquidinference.ai/models/gemma-4-31b-it-novelist.md): declared precision provider-managed, us, $0.100 input and $0.450 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It Scarlet](https://liquidinference.ai/models/gemma-4-31b-it-scarlet.md): declared precision provider-managed, us, $0.100 input and $0.450 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B It:thinking](https://liquidinference.ai/models/gemma-4-31b-it%3Athinking.md): declared precision provider-managed, us, $0.100 input and $0.341 output per million tokens, $0.100 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B K1 V5](https://liquidinference.ai/models/gemma-4-31b-k1-v5.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Meromero](https://liquidinference.ai/models/gemma-4-31b-meromero.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Meromero V2](https://liquidinference.ai/models/gemma-4-31b-meromero-v2.md): declared precision provider-managed, us, $0.100 input and $0.449 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Meromero v2:thinking](https://liquidinference.ai/models/gemma-4-31b-meromero-v2%3Athinking.md): declared precision provider-managed, us, $0.100 input and $0.450 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Novelist](https://liquidinference.ai/models/gemma-4-31b-novelist.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Queen](https://liquidinference.ai/models/gemma-4-31b-queen.md): declared precision provider-managed, us, $0.305 input and $0.305 output per million tokens, $0.305 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Sdft Heretic RP](https://liquidinference.ai/models/gemma-4-31b-sdft-heretic-rp.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma 4 31B Styletune](https://liquidinference.ai/models/gemma-4-31b-styletune.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Gemma: Sea Lion V4 27B It](https://liquidinference.ai/models/gemma-sea-lion-v4-27b-it.md): declared precision provider-managed, us, $0.200 input and $0.399 output per million tokens, $0.200 cache read per million tokens, 131.1K tokens of context
- [Generative](https://liquidinference.ai/models/generative.md): declared precision provider-managed, us, $0.000030 per character, 4,097 tokens of context
- [Glimpse](https://liquidinference.ai/models/glimpse.md): declared precision provider-managed, us, $0.629 input and $3.143 output per million tokens, $0.063 cache read per million tokens, 262.1K tokens of context
- [GLM 4.5](https://liquidinference.ai/models/glm-4.5.md): declared precision provider-managed, us, $0.300 input and $1.302 output per million tokens, $0.300 cache read per million tokens, 128K tokens of context
- [GLM 4.5 Air](https://liquidinference.ai/models/glm-4.5-air.md): declared precision provider-managed, us, $0.130 input and $0.850 output per million tokens, $0.130 cache read per million tokens, 131.1K tokens of context
- [GLM 4.5 Air:thinking](https://liquidinference.ai/models/glm-4.5-air%3Athinking.md): declared precision provider-managed, us, $0.130 input and $0.848 output per million tokens, $0.025 cache read per million tokens, 128K tokens of context
- [GLM 4.5:thinking](https://liquidinference.ai/models/glm-4.5%3Athinking.md): declared precision provider-managed, us, $0.299 input and $1.297 output per million tokens, $0.299 cache read per million tokens, 128K tokens of context
- [GLM 4.5v](https://liquidinference.ai/models/glm-4.5v.md): declared precision provider-managed, us, $0.601 input and $1.804 output per million tokens, $0.601 cache read per million tokens, 65.5K tokens of context
- [GLM 4.5v:thinking](https://liquidinference.ai/models/glm-4.5v%3Athinking.md): declared precision provider-managed, us, $0.601 input and $1.803 output per million tokens, $0.601 cache read per million tokens, 65.5K tokens of context
- [GLM 4.6](https://liquidinference.ai/models/glm-4.6.md): declared precision provider-managed, us, $0.499 input and $1.997 output per million tokens, $0.499 cache read per million tokens, 202.8K tokens of context
- [GLM 4.6 Derestricted V5](https://liquidinference.ai/models/glm-4.6-derestricted-v5.md): declared precision provider-managed, us, $0.400 input and $1.499 output per million tokens, $0.400 cache read per million tokens, 131.1K tokens of context
- [GLM 4.6 Original](https://liquidinference.ai/models/glm-4.6-original.md): declared precision provider-managed, us, $0.550 input and $2.199 output per million tokens, $0.110 cache read per million tokens, 256K tokens of context
- [GLM 4.6 Turbo](https://liquidinference.ai/models/glm-4.6-turbo.md): declared precision provider-managed, us, $0.551 input and $2.203 output per million tokens, $0.110 cache read per million tokens, 204.8K tokens of context
- [GLM 4.6 Turbo:thinking](https://liquidinference.ai/models/glm-4.6-turbo%3Athinking.md): declared precision provider-managed, us, $0.549 input and $2.195 output per million tokens, $0.110 cache read per million tokens, 204.8K tokens of context
- [GLM 4.6:thinking](https://liquidinference.ai/models/glm-4.6%3Athinking.md): declared precision provider-managed, us, $0.550 input and $2.200 output per million tokens, $0.110 cache read per million tokens, 200K tokens of context
- [GLM 4.6v](https://liquidinference.ai/models/glm-4.6v.md): declared precision provider-managed, us, $0.299 input and $0.898 output per million tokens, $0.299 cache read per million tokens, 128K tokens of context
- [GLM 4.6v Flash](https://liquidinference.ai/models/glm-4.6v-flash.md): declared precision provider-managed, us, $0.300 input and $0.901 output per million tokens, $0.300 cache read per million tokens, 131.1K tokens of context
- [GLM 4.6v Original](https://liquidinference.ai/models/glm-4.6v-original.md): declared precision provider-managed, us, $0.600 input and $0.901 output per million tokens, $0.600 cache read per million tokens, 128K tokens of context
- [GLM 4.7 Flash:thinking](https://liquidinference.ai/models/glm-4.7-flash%3Athinking.md): declared precision provider-managed, us, $0.070 input and $0.400 output per million tokens, $0.0100 cache read per million tokens, 200K tokens of context
- [GLM 4.7 Original](https://liquidinference.ai/models/glm-4.7-original.md): declared precision provider-managed, us, $0.401 input and $1.933 output per million tokens, $0.080 cache read per million tokens, 200K tokens of context
- [GLM 4.7 Original:thinking](https://liquidinference.ai/models/glm-4.7-original%3Athinking.md): declared precision provider-managed, us, $0.401 input and $1.933 output per million tokens, $0.080 cache read per million tokens, 200K tokens of context
- [GLM 4.7:thinking](https://liquidinference.ai/models/glm-4.7%3Athinking.md): declared precision provider-managed, us, $0.400 input and $1.926 output per million tokens, $0.080 cache read per million tokens, 200K tokens of context
- [GLM 5](https://liquidinference.ai/models/glm-5.md): declared precision provider-managed, us, $0.601 input and $1.902 output per million tokens, $0.100 cache read per million tokens, 200K tokens of context
- [GLM 5 Original](https://liquidinference.ai/models/glm-5-original.md): declared precision provider-managed, us, $0.599 input and $1.898 output per million tokens, $0.100 cache read per million tokens, 200K tokens of context
- [GLM 5 Original:thinking](https://liquidinference.ai/models/glm-5-original%3Athinking.md): declared precision provider-managed, us, $0.599 input and $1.898 output per million tokens, $0.100 cache read per million tokens, 200K tokens of context
- [GLM 5 Turbo](https://liquidinference.ai/models/glm-5-turbo.md): declared precision provider-managed, us, $1.199 input and $3.995 output per million tokens, $0.240 cache read per million tokens, 202.8K tokens of context
- [GLM 5:thinking](https://liquidinference.ai/models/glm-5%3Athinking.md): declared precision provider-managed, us, $0.601 input and $1.902 output per million tokens, $0.100 cache read per million tokens, 200K tokens of context
- [GLM 5.1:thinking](https://liquidinference.ai/models/glm-5.1%3Athinking.md): declared precision provider-managed, us, $0.701 input and $2.502 output per million tokens, $0.180 cache read per million tokens, 200K tokens of context
- [GLM 5.2:thinking](https://liquidinference.ai/models/glm-5.2%3Athinking.md): declared precision provider-managed, us, $0.420 input and $1.319 output per million tokens, $0.078 cache read per million tokens, 1M tokens of context
- [GLM 5.3 Flash Apex](https://liquidinference.ai/models/glm-5.3-flash-apex.md): declared precision provider-managed, us, $0.150 input and $0.501 output per million tokens, $0.075 cache read per million tokens, 1M tokens of context
- [GLM 5.3 Flash Apex Abliterated](https://liquidinference.ai/models/glm-5.3-flash-apex-abliterated.md): declared precision provider-managed, us, $0.150 input and $0.500 output per million tokens, $0.075 cache read per million tokens, 1M tokens of context
- [GLM 5.3 Flash Cybersecurity](https://liquidinference.ai/models/glm-5.3-flash-cybersecurity.md): declared precision provider-managed, us, $0.150 input and $0.499 output per million tokens, $0.075 cache read per million tokens, 1M tokens of context
- [GLM 5.3 Flashx](https://liquidinference.ai/models/glm-5.3-flashx.md): declared precision provider-managed, us, $0.369 input and $1.247 output per million tokens, $0.075 cache read per million tokens, 1M tokens of context
- [GLM 5.3 Uncensored](https://liquidinference.ai/models/glm-5.3-uncensored.md): declared precision provider-managed, us, $1.249 input and $2.249 output per million tokens, $0.300 cache read per million tokens, 1M tokens of context
- [GLM 5.3:thinking](https://liquidinference.ai/models/glm-5.3%3Athinking.md): declared precision provider-managed, us, $0.599 input and $1.099 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [GLM 5v Turbo](https://liquidinference.ai/models/glm-5v-turbo.md): declared precision provider-managed, us, $1.199 input and $3.996 output per million tokens, $0.240 cache read per million tokens, 202.8K tokens of context
- [GLM 5v Turbo:thinking](https://liquidinference.ai/models/glm-5v-turbo%3Athinking.md): declared precision provider-managed, us, $1.200 input and $4.001 output per million tokens, $0.240 cache read per million tokens, 202.8K tokens of context
- [GLM Image](https://liquidinference.ai/models/glm-image.md): declared precision provider-managed, us, $0.120 per image, 32K tokens of context
- [GLM Latest](https://liquidinference.ai/models/glm-latest.md): declared precision provider-managed, us, $0.599 input and $1.098 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [GPT 3.5 Turbo](https://liquidinference.ai/models/gpt-3.5-turbo.md): declared precision provider-managed, us, $0.500 input and $1.500 output per million tokens, $0.500 cache read per million tokens, 4,097 tokens of context
- [GPT 4.1](https://liquidinference.ai/models/gpt-4.1.md): declared precision provider-managed, us, $2.004 input and $8.018 output per million tokens, $0.501 cache read per million tokens, 1M tokens of context
- [GPT 4.1 2025 04 14](https://liquidinference.ai/models/gpt-4.1-2025-04-14.md): declared precision provider-managed, us, $1.997 input and $7.988 output per million tokens, $0.499 cache read per million tokens, 1M tokens of context
- [GPT 4.1 Mini](https://liquidinference.ai/models/gpt-4.1-mini.md): declared precision provider-managed, us, $0.400 input and $1.600 output per million tokens, $0.100 cache read per million tokens, 1M tokens of context
- [GPT 4.1 Mini 2025 04 14](https://liquidinference.ai/models/gpt-4.1-mini-2025-04-14.md): declared precision provider-managed, us, $0.400 input and $1.602 output per million tokens, $0.100 cache read per million tokens, 1M tokens of context
- [GPT 4.1 Nano](https://liquidinference.ai/models/gpt-4.1-nano.md): declared precision provider-managed, us, $0.100 input and $0.400 output per million tokens, $0.025 cache read per million tokens, 1M tokens of context
- [GPT 4o](https://liquidinference.ai/models/gpt-4o.md): declared precision provider-managed, us, $2.501 input and $10.004 output per million tokens, $1.251 cache read per million tokens, 128K tokens of context
- [GPT 4o 2024 08 06](https://liquidinference.ai/models/gpt-4o-2024-08-06.md): declared precision provider-managed, us, $2.503 input and $10.011 output per million tokens, $1.251 cache read per million tokens, 128K tokens of context
- [GPT 4o 2024 11 20](https://liquidinference.ai/models/gpt-4o-2024-11-20.md): declared precision provider-managed, us, $2.505 input and $10.019 output per million tokens, $1.252 cache read per million tokens, 128K tokens of context
- [GPT 4o Mini](https://liquidinference.ai/models/gpt-4o-mini.md): declared precision provider-managed, us, $0.150 input and $0.599 output per million tokens, $0.075 cache read per million tokens, 128K tokens of context
- [GPT 5](https://liquidinference.ai/models/gpt-5.md): declared precision provider-managed, us, $1.251 input and $10.011 output per million tokens, $0.125 cache read per million tokens, 400K tokens of context
- [GPT 5 2025 08 07](https://liquidinference.ai/models/gpt-5-2025-08-07.md): declared precision provider-managed, us, $1.248 input and $9.985 output per million tokens, $0.125 cache read per million tokens, 400K tokens of context
- [GPT 5 Codex](https://liquidinference.ai/models/gpt-5-codex.md): declared precision provider-managed, us, $1.247 input and $9.980 output per million tokens, $0.125 cache read per million tokens, 272K tokens of context
- [GPT 5 Mini](https://liquidinference.ai/models/gpt-5-mini.md): declared precision provider-managed, us, $0.250 input and $2.001 output per million tokens, $0.025 cache read per million tokens, 400K tokens of context
- [GPT 5 Mini 2025 08 07](https://liquidinference.ai/models/gpt-5-mini-2025-08-07.md): declared precision provider-managed, us, $0.249 input and $1.995 output per million tokens, $0.025 cache read per million tokens, 400K tokens of context
- [GPT 5 Nano](https://liquidinference.ai/models/gpt-5-nano.md): declared precision provider-managed, us, $0.050 input and $0.400 output per million tokens, $0.0050 cache read per million tokens, 400K tokens of context
- [GPT 5 Nano 2025 08 07](https://liquidinference.ai/models/gpt-5-nano-2025-08-07.md): declared precision provider-managed, us, $0.050 input and $0.399 output per million tokens, $0.0050 cache read per million tokens, 400K tokens of context
- [GPT 5 Pro](https://liquidinference.ai/models/gpt-5-pro.md): declared precision provider-managed, us, $15.002 input and $120.015 output per million tokens, $1.500 cache read per million tokens, 400K tokens of context
- [GPT 5.1](https://liquidinference.ai/models/gpt-5.1.md): declared precision provider-managed, us, $1.248 input and $9.982 output per million tokens, $0.125 cache read per million tokens, 400K tokens of context
- [GPT 5.1 2025 11 13](https://liquidinference.ai/models/gpt-5.1-2025-11-13.md): declared precision provider-managed, us, $1.252 input and $10.017 output per million tokens, $0.125 cache read per million tokens, 400K tokens of context
- [GPT 5.1 Codex](https://liquidinference.ai/models/gpt-5.1-codex.md): declared precision provider-managed, us, $1.251 input and $10.012 output per million tokens, $0.125 cache read per million tokens, 272K tokens of context
- [GPT 5.1 Codex Max](https://liquidinference.ai/models/gpt-5.1-codex-max.md): declared precision provider-managed, us, $1.247 input and $9.978 output per million tokens, $0.125 cache read per million tokens, 272K tokens of context
- [GPT 5.1 Codex Mini](https://liquidinference.ai/models/gpt-5.1-codex-mini.md): declared precision provider-managed, us, $0.250 input and $2.001 output per million tokens, $0.025 cache read per million tokens, 272K tokens of context
- [GPT 5.2 2025 12 11](https://liquidinference.ai/models/gpt-5.2-2025-12-11.md): declared precision provider-managed, us, $1.753 input and $14.025 output per million tokens, $0.175 cache read per million tokens, 400K tokens of context
- [GPT 5.2 Codex](https://liquidinference.ai/models/gpt-5.2-codex.md): declared precision provider-managed, us, $1.753 input and $14.027 output per million tokens, $0.175 cache read per million tokens, 272K tokens of context
- [GPT 5.2 Pro 2025 12 11](https://liquidinference.ai/models/gpt-5.2-pro-2025-12-11.md): declared precision provider-managed, us, $20.995 input and $167.956 output per million tokens, $20.995 cache read per million tokens, 400K tokens of context
- [GPT 5.4 2026 03 05](https://liquidinference.ai/models/gpt-5.4-2026-03-05.md): declared precision provider-managed, us, $2.500 input and $14.998 output per million tokens, $0.250 cache read per million tokens, 272K tokens of context
- [GPT 5.4 Mini 2026 03 17](https://liquidinference.ai/models/gpt-5.4-mini-2026-03-17.md): declared precision provider-managed, us, $0.749 input and $4.495 output per million tokens, $0.075 cache read per million tokens, 400K tokens of context
- [GPT 5.4 Nano](https://liquidinference.ai/models/gpt-5.4-nano.md): declared precision provider-managed, us, $0.200 input and $1.250 output per million tokens, $0.020 cache read per million tokens, 400K tokens of context
- [GPT 5.4 Nano 2026 03 17](https://liquidinference.ai/models/gpt-5.4-nano-2026-03-17.md): declared precision provider-managed, us, $0.200 input and $1.249 output per million tokens, $0.020 cache read per million tokens, 400K tokens of context
- [GPT 5.4 Pro 2026 03 05](https://liquidinference.ai/models/gpt-5.4-pro-2026-03-05.md): declared precision provider-managed, us, $29.973 input and $179.838 output per million tokens, $29.973 cache read per million tokens, 272K tokens of context
- [GPT 5.5 2026 04 23](https://liquidinference.ai/models/gpt-5.5-2026-04-23.md): declared precision provider-managed, us, $5.002 input and $30.011 output per million tokens, $0.500 cache read per million tokens, 272K tokens of context
- [GPT 5.5 Pro 2026 04 23](https://liquidinference.ai/models/gpt-5.5-pro-2026-04-23.md): declared precision provider-managed, us, $30.006 input and $180.038 output per million tokens, $30.006 cache read per million tokens, 272K tokens of context
- [GPT 6 Astra Pro](https://liquidinference.ai/models/gpt-6-astra-pro.md): declared precision provider-managed, us, $9.991 input and $49.953 output per million tokens, $0.999 cache read per million tokens, 272K tokens of context
- [GPT 6 Luna Pro](https://liquidinference.ai/models/gpt-6-luna-pro.md): declared precision provider-managed, us, $0.100 input and $0.501 output per million tokens, $0.010 cache read per million tokens, 272K tokens of context
- [GPT 6 Sol Pro](https://liquidinference.ai/models/gpt-6-sol-pro.md): declared precision provider-managed, us, $1.995 input and $9.976 output per million tokens, $0.200 cache read per million tokens, 272K tokens of context
- [GPT 6.1 Sol Pro](https://liquidinference.ai/models/gpt-6.1-sol-pro.md): declared precision provider-managed, us, $1.997 input and $9.984 output per million tokens, $0.100 cache read per million tokens, 272K tokens of context
- [GPT 6.1 Terra](https://liquidinference.ai/models/gpt-6.1-terra.md): declared precision provider-managed, us, $1.002 input and $5.009 output per million tokens, $0.050 cache read, $1.252 cache write per million tokens, 272K tokens of context
- [GPT 6.1 Terra Pro](https://liquidinference.ai/models/gpt-6.1-terra-pro.md): declared precision provider-managed, us, $1.002 input and $5.011 output per million tokens, $0.050 cache read per million tokens, 272K tokens of context
- [GPT Latest](https://liquidinference.ai/models/gpt-latest.md): declared precision provider-managed, us, $10.014 input and $50.068 output per million tokens, $1.001 cache read per million tokens, 272K tokens of context
- [GPT: Astra Latest](https://liquidinference.ai/models/gpt-astra-latest.md): declared precision provider-managed, us, $10.017 input and $50.083 output per million tokens, $1.002 cache read per million tokens, 272K tokens of context
- [GPT: Chat Latest](https://liquidinference.ai/models/gpt-chat-latest.md): declared precision provider-managed, us, $1.998 input and $9.990 output per million tokens, $0.100 cache read per million tokens, 272K tokens of context
- [GPT: Luna Latest](https://liquidinference.ai/models/gpt-luna-latest.md): declared precision provider-managed, us, $0.100 input and $0.500 output per million tokens, $0.0100 cache read per million tokens, 272K tokens of context
- [GPT: OSS Safeguard 20B](https://liquidinference.ai/models/gpt-oss-safeguard-20b.md): declared precision provider-managed, us, $0.075 input and $0.299 output per million tokens, $0.075 cache read per million tokens, 131.1K tokens of context
- [GPT: Sol Latest](https://liquidinference.ai/models/gpt-sol-latest.md): declared precision provider-managed, us, $1.997 input and $9.987 output per million tokens, $0.100 cache read per million tokens, 272K tokens of context
- [GPT: Terra Latest](https://liquidinference.ai/models/gpt-terra-latest.md): declared precision provider-managed, us, $0.998 input and $4.992 output per million tokens, $0.050 cache read per million tokens, 272K tokens of context
- [Granite 4.2 30B](https://liquidinference.ai/models/granite-4.2-30b.md): declared precision provider-managed, us, $0.160 input and $0.650 output per million tokens, $0.160 cache read per million tokens, 131.1K tokens of context
- [Granite 4.2 3B](https://liquidinference.ai/models/granite-4.2-3b.md): declared precision provider-managed, us, $0.030 input and $0.120 output per million tokens, $0.030 cache read per million tokens, 131.1K tokens of context
- [Granite 4.2 8B](https://liquidinference.ai/models/granite-4.2-8b.md): declared precision provider-managed, us, $0.060 input and $0.150 output per million tokens, $0.015 cache read per million tokens, 131.1K tokens of context
- [Grayline: Qwen 3 8B](https://liquidinference.ai/models/grayline-qwen3-8b.md): declared precision provider-managed, us, $0.299 input and $0.299 output per million tokens, $0.299 cache read per million tokens, 32.8K tokens of context
- [Grok 3](https://liquidinference.ai/models/grok-3.md): declared precision provider-managed, us, $3.000 input and $14.999 output per million tokens, $0.750 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Beta](https://liquidinference.ai/models/grok-3-beta.md): declared precision provider-managed, us, $3.006 input and $15.031 output per million tokens, $0.752 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Fast Beta](https://liquidinference.ai/models/grok-3-fast-beta.md): declared precision provider-managed, us, $4.990 input and $24.952 output per million tokens, $1.248 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Fast Latest](https://liquidinference.ai/models/grok-3-fast-latest.md): declared precision provider-managed, us, $5.000 input and $25.001 output per million tokens, $1.250 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Latest](https://liquidinference.ai/models/grok-3-latest.md): declared precision provider-managed, us, $2.997 input and $14.985 output per million tokens, $0.749 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Mini Fast](https://liquidinference.ai/models/grok-3-mini-fast.md): declared precision provider-managed, us, $0.601 input and $4.003 output per million tokens, $0.150 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Mini Fast Beta](https://liquidinference.ai/models/grok-3-mini-fast-beta.md): declared precision provider-managed, us, $0.600 input and $3.997 output per million tokens, $0.150 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Mini Fast Latest](https://liquidinference.ai/models/grok-3-mini-fast-latest.md): declared precision provider-managed, us, $0.600 input and $3.999 output per million tokens, $0.150 cache read per million tokens, 131.1K tokens of context
- [Grok 3 Mini Latest](https://liquidinference.ai/models/grok-3-mini-latest.md): declared precision provider-managed, us, $0.299 input and $0.499 output per million tokens, $0.075 cache read per million tokens, 131.1K tokens of context
- [Grok 4](https://liquidinference.ai/models/grok-4.md): declared precision provider-managed, us, $2.998 input and $14.991 output per million tokens, $2.998 cache read per million tokens, 256K tokens of context
- [Grok 4 0709](https://liquidinference.ai/models/grok-4-0709.md): declared precision provider-managed, us, $2.998 input and $14.989 output per million tokens, $2.998 cache read per million tokens, 128K tokens of context
- [Grok 4 Fast](https://liquidinference.ai/models/grok-4-fast.md): declared precision provider-managed, us, $0.200 input and $0.501 output per million tokens, $0.050 cache read per million tokens, 2M tokens of context
- [Grok 4 Fast Non Reasoning](https://liquidinference.ai/models/grok-4-fast-non-reasoning.md): declared precision provider-managed, us, $0.200 input and $0.499 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Grok 4 Fast Reasoning](https://liquidinference.ai/models/grok-4-fast-reasoning.md): declared precision provider-managed, us, $0.200 input and $0.500 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Grok 4 Latest](https://liquidinference.ai/models/grok-4-latest.md): declared precision provider-managed, us, $3.005 input and $15.027 output per million tokens, $3.005 cache read per million tokens, 128K tokens of context
- [Grok 4.1 Fast](https://liquidinference.ai/models/grok-4.1-fast.md): declared precision provider-managed, us, $0.200 input and $0.499 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Grok 4.1 Fast Non Reasoning](https://liquidinference.ai/models/grok-4.1-fast-non-reasoning.md): declared precision provider-managed, us, $0.200 input and $0.500 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Grok 4.1 Fast Non Reasoning Latest](https://liquidinference.ai/models/grok-4.1-fast-non-reasoning-latest.md): declared precision provider-managed, us, $0.200 input and $0.500 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Grok 4.1 Fast Reasoning](https://liquidinference.ai/models/grok-4.1-fast-reasoning.md): declared precision provider-managed, us, $0.200 input and $0.501 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Grok 4.1 Fast Reasoning Latest](https://liquidinference.ai/models/grok-4.1-fast-reasoning-latest.md): declared precision provider-managed, us, $0.200 input and $0.500 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Grok 4.20](https://liquidinference.ai/models/grok-4.20.md): declared precision provider-managed, us, $1.251 input and $2.502 output per million tokens, $0.200 cache read per million tokens, 2M tokens of context
- [Grok 4.20 Beta 0309 Non Reasoning](https://liquidinference.ai/models/grok-4.20-beta-0309-non-reasoning.md): declared precision provider-managed, us, $2.002 input and $6.006 output per million tokens, $0.200 cache read per million tokens, 2M tokens of context
- [Grok 4.20 Beta 0309 Reasoning](https://liquidinference.ai/models/grok-4.20-beta-0309-reasoning.md): declared precision provider-managed, us, $2.005 input and $6.015 output per million tokens, $0.200 cache read per million tokens, 2M tokens of context
- [Grok 4.20 Multi Agent](https://liquidinference.ai/models/grok-4.20-multi-agent.md): declared precision provider-managed, us, $1.248 input and $2.496 output per million tokens, $0.200 cache read per million tokens, 2M tokens of context
- [Grok 4.3](https://liquidinference.ai/models/grok-4.3.md): declared precision provider-managed, us, $1.251 input and $2.502 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Grok 4.3 Latest](https://liquidinference.ai/models/grok-4.3-latest.md): declared precision provider-managed, us, $1.249 input and $2.498 output per million tokens, $0.200 cache read per million tokens, 200K tokens of context
- [Grok 4.7](https://liquidinference.ai/models/grok-4.7.md): declared precision provider-managed, us, $2.004 input and $6.013 output per million tokens, $0.501 cache read per million tokens, 200K tokens of context
- [Grok: Code Fast](https://liquidinference.ai/models/grok-code-fast.md): declared precision provider-managed, us, $0.200 input and $1.497 output per million tokens, $0.020 cache read per million tokens, 256K tokens of context
- [Grok: Code Fast 1](https://liquidinference.ai/models/grok-code-fast-1.md): declared precision provider-managed, us, $0.200 input and $1.497 output per million tokens, $0.020 cache read per million tokens, 256K tokens of context
- [Grok: Code Fast 1 0825](https://liquidinference.ai/models/grok-code-fast-1-0825.md): declared precision provider-managed, us, $0.200 input and $1.499 output per million tokens, $0.020 cache read per million tokens, 256K tokens of context
- [Grok: Imagine Image](https://liquidinference.ai/models/grok-imagine-image.md): declared precision provider-managed, us, $0.020 per image, 32K tokens of context
- [H3 Max](https://liquidinference.ai/models/h3-max.md): declared precision provider-managed, us, $0.080 per second, 32K tokens of context
- [Hermes 3 Llama 3.1 70B](https://liquidinference.ai/models/hermes-3-llama-3.1-70b.md): declared precision provider-managed, us, $0.699 input and $0.699 output per million tokens, $0.699 cache read per million tokens, 131.1K tokens of context
- [Hermes High](https://liquidinference.ai/models/hermes-high.md): declared precision provider-managed, us, $0.600 input and $1.100 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Hermes Low](https://liquidinference.ai/models/hermes-low.md): declared precision provider-managed, us, $0.599 input and $1.098 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Hermes Medium](https://liquidinference.ai/models/hermes-medium.md): declared precision provider-managed, us, $0.600 input and $1.100 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Hidream I1 Full](https://liquidinference.ai/models/hidream-i1-full.md): declared precision provider-managed, us, $0.015 per image, 32K tokens of context
- [Hidream O1 Image](https://liquidinference.ai/models/hidream-o1-image.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Hidream O1 Image Dev](https://liquidinference.ai/models/hidream-o1-image-dev.md): declared precision provider-managed, us, $0.020 per image, 32K tokens of context
- [Holo 3 35B a3b](https://liquidinference.ai/models/holo3-35b-a3b.md): declared precision provider-managed, us, $0.250 input and $1.799 output per million tokens, $0.250 cache read per million tokens, 65.5K tokens of context
- [Holo 3 35B a3b:thinking](https://liquidinference.ai/models/holo3-35b-a3b%3Athinking.md): declared precision provider-managed, us, $0.250 input and $1.801 output per million tokens, $0.250 cache read per million tokens, 65.5K tokens of context
- [hy3](https://liquidinference.ai/models/hy3.md): declared precision provider-managed, us, $0.066 input and $0.260 output per million tokens, $0.029 cache read per million tokens, 262.1K tokens of context
- [hy4](https://liquidinference.ai/models/hy4.md): declared precision provider-managed, us, $0.462 input and $1.385 output per million tokens, $0.023 cache read per million tokens, 1M tokens of context
- [Ideogram V2](https://liquidinference.ai/models/ideogram-v2.md): declared precision provider-managed, us, $0.136 per image, 32K tokens of context
- [Ideogram V2 Turbo](https://liquidinference.ai/models/ideogram-v2-turbo.md): declared precision provider-managed, us, $0.085 per image, 32K tokens of context
- [Ideogram V4.5](https://liquidinference.ai/models/ideogram-v4.5.md): declared precision provider-managed, us, $0.060 per image, 32K tokens of context
- [Inkling](https://liquidinference.ai/models/inkling.md): declared precision provider-managed, us, $1.001 input and $4.053 output per million tokens, $0.170 cache read per million tokens, 1M tokens of context
- [Inkling Small](https://liquidinference.ai/models/inkling-small.md): declared precision provider-managed, us, $0.450 input and $1.200 output per million tokens, $0.450 cache read per million tokens, 524.3K tokens of context
- [Inkling Small:thinking](https://liquidinference.ai/models/inkling-small%3Athinking.md): declared precision provider-managed, us, $0.449 input and $1.197 output per million tokens, $0.100 cache read per million tokens, 524.3K tokens of context
- [Inkling:thinking](https://liquidinference.ai/models/inkling%3Athinking.md): declared precision provider-managed, us, $1.001 input and $4.053 output per million tokens, $0.170 cache read per million tokens, 1M tokens of context
- [Jamba 1.5 Large](https://liquidinference.ai/models/jamba-1.5-large.md): declared precision provider-managed, us, $1.995 input and $7.980 output per million tokens, $1.995 cache read per million tokens, 256K tokens of context
- [Jamba 1.5 Mini](https://liquidinference.ai/models/jamba-1.5-mini.md): declared precision provider-managed, us, $0.200 input and $0.400 output per million tokens, $0.200 cache read per million tokens, 256K tokens of context
- [Juggernaut: Pro Flux](https://liquidinference.ai/models/juggernaut-pro-flux.md): declared precision provider-managed, us, $0.017 per image, 32K tokens of context
- [K2 Think](https://liquidinference.ai/models/k2-think.md): declared precision provider-managed, us, $0.170 input and $0.678 output per million tokens, $0.170 cache read per million tokens, 128K tokens of context
- [Kandinsky 6 Lite](https://liquidinference.ai/models/kandinsky6-lite.md): declared precision provider-managed, us, $0.032 per second, 32K tokens of context
- [Kandinsky 6 Pro](https://liquidinference.ai/models/kandinsky6-pro.md): declared precision provider-managed, us, $0.270 per second, 32K tokens of context
- [Kimi K2 Instruct](https://liquidinference.ai/models/kimi-k2-instruct.md): declared precision provider-managed, us, $0.401 input and $1.804 output per million tokens, $0.401 cache read per million tokens, 256K tokens of context
- [Kimi K2 Instruct 0711](https://liquidinference.ai/models/kimi-k2-instruct-0711.md): declared precision provider-managed, us, $0.401 input and $1.804 output per million tokens, $0.401 cache read per million tokens, 128K tokens of context
- [Kimi K2 Instruct 0905](https://liquidinference.ai/models/kimi-k2-instruct-0905.md): declared precision provider-managed, us, $0.399 input and $1.796 output per million tokens, $0.399 cache read per million tokens, 262.1K tokens of context
- [Kimi K2 Instruct Fast](https://liquidinference.ai/models/kimi-k2-instruct-fast.md): declared precision provider-managed, us, $0.401 input and $1.804 output per million tokens, $0.401 cache read per million tokens, 131.1K tokens of context
- [Kimi K2 Instruct FP4](https://liquidinference.ai/models/kimi-k2-instruct-fp4.md): declared precision provider-managed, us, $0.400 input and $1.798 output per million tokens, $0.400 cache read per million tokens, 131.1K tokens of context
- [Kimi k2.5:thinking](https://liquidinference.ai/models/kimi-k2.5%3Athinking.md): declared precision provider-managed, us, $0.375 input and $1.998 output per million tokens, $0.070 cache read per million tokens, 262.1K tokens of context
- [Kimi k2.6:thinking](https://liquidinference.ai/models/kimi-k2.6%3Athinking.md): declared precision provider-managed, us, $0.389 input and $1.639 output per million tokens, $0.066 cache read per million tokens, 262.1K tokens of context
- [Kimi K2.8 Preview](https://liquidinference.ai/models/kimi-k2.8-preview.md): declared precision provider-managed, us, $0.998 input and $3.993 output per million tokens, $0.250 cache read per million tokens, 1M tokens of context
- [Kimi K3.1 Pro Highspeed](https://liquidinference.ai/models/kimi-k3.1-pro-highspeed.md): declared precision provider-managed, us, $3.998 input and $19.991 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Kimi Latest](https://liquidinference.ai/models/kimi-latest.md): declared precision provider-managed, us, $1.999 input and $9.993 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Kling V3 4k](https://liquidinference.ai/models/kling-v3-4k.md): declared precision provider-managed, us, $0.419 per second, 32K tokens of context
- [Kling V3 Turbo Pro](https://liquidinference.ai/models/kling-v3-turbo-pro.md): declared precision provider-managed, us, $0.140 per second, 32K tokens of context
- [Kling V3 Turbo Standard](https://liquidinference.ai/models/kling-v3-turbo-standard.md): declared precision provider-managed, us, $0.112 per second, 32K tokens of context
- [L3 8B Stheno V3.2](https://liquidinference.ai/models/l3-8b-stheno-v3.2.md): declared precision provider-managed, us, $0.050 input and $0.050 output per million tokens, $0.050 cache read per million tokens, 8,192 tokens of context
- [L3.1 70B Celeste V0.1 BF16](https://liquidinference.ai/models/l3.1-70b-celeste-v0.1-bf16.md): declared precision provider-managed, us, $0.493 input and $0.493 output per million tokens, $0.493 cache read per million tokens, 32.8K tokens of context
- [L3.1 70B Euryale V2.2](https://liquidinference.ai/models/l3.1-70b-euryale-v2.2.md): declared precision provider-managed, us, $0.306 input and $0.357 output per million tokens, $0.306 cache read per million tokens, 20.5K tokens of context
- [L3.1 70B Hanami X1](https://liquidinference.ai/models/l3.1-70b-hanami-x1.md): declared precision provider-managed, us, $0.493 input and $0.493 output per million tokens, $0.493 cache read per million tokens, 32.8K tokens of context
- [L3.3 70B Euryale V2.3](https://liquidinference.ai/models/l3.3-70b-euryale-v2.3.md): declared precision provider-managed, us, $0.493 input and $0.493 output per million tokens, $0.493 cache read per million tokens, 20.5K tokens of context
- [L3.3: Cu Mai R1 70B](https://liquidinference.ai/models/l3.3-cu-mai-r1-70b.md): declared precision provider-managed, us, $0.493 input and $0.493 output per million tokens, $0.493 cache read per million tokens, 32.8K tokens of context
- [L3.3: Electra R1 70B](https://liquidinference.ai/models/l3.3-electra-r1-70b.md): declared precision provider-managed, us, $0.700 input and $0.700 output per million tokens, $0.700 cache read per million tokens, 32.8K tokens of context
- [L3.3: Ms Nevoria 70B](https://liquidinference.ai/models/l3.3-ms-nevoria-70b.md): declared precision provider-managed, us, $0.492 input and $0.492 output per million tokens, $0.492 cache read per million tokens, 32.8K tokens of context
- [L3.3: Nevoria R1 70B](https://liquidinference.ai/models/l3.3-nevoria-r1-70b.md): declared precision provider-managed, us, $0.492 input and $0.492 output per million tokens, $0.492 cache read per million tokens, 32.8K tokens of context
- [Labs: Devstral Small 2512](https://liquidinference.ai/models/labs-devstral-small-2512.md): declared precision provider-managed, us, $0.100 input and $0.300 output per million tokens, $0.100 cache read per million tokens, 256K tokens of context
- [Lfm 2.5 2.6B](https://liquidinference.ai/models/lfm-2.5-2.6b.md): declared precision provider-managed, us, $0.100 input and $0.200 output per million tokens, $0.100 cache read per million tokens, 128K tokens of context
- [Lfm 2.5 24B a2b](https://liquidinference.ai/models/lfm-2.5-24b-a2b.md): declared precision provider-managed, us, $0.050 input and $0.701 output per million tokens, $0.025 cache read per million tokens, 128K tokens of context
- [Lightonocr 2 1B](https://liquidinference.ai/models/lightonocr-2-1b.md): declared precision provider-managed, us, $0.179 input and $0.347 output per million tokens, $0.179 cache read per million tokens, 32.8K tokens of context
- [Lightricks: Ltx 2 Fast](https://liquidinference.ai/models/lightricks-ltx-2-fast.md): declared precision provider-managed, us, $0.040 per second, 32K tokens of context
- [Lightricks: Ltx 2 Pro](https://liquidinference.ai/models/lightricks-ltx-2-pro.md): declared precision provider-managed, us, $0.060 per second, 32K tokens of context
- [Ling 3.0 Flash](https://liquidinference.ai/models/ling-3.0-flash.md): declared precision provider-managed, us, $0.060 input and $0.180 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Ling 3.0 Flash Fin](https://liquidinference.ai/models/ling-3.0-flash-fin.md): declared precision provider-managed, us, $0.060 input and $0.180 output per million tokens, $0.060 cache read per million tokens, 262.1K tokens of context
- [Ling 3.0 Flash VL](https://liquidinference.ai/models/ling-3.0-flash-vl.md): declared precision provider-managed, us, $0.060 input and $0.180 output per million tokens, $0.012 cache read per million tokens, 262.1K tokens of context
- [Ling 3.0 Flash:thinking](https://liquidinference.ai/models/ling-3.0-flash%3Athinking.md): declared precision provider-managed, us, $0.075 input and $0.220 output per million tokens, $0.015 cache read per million tokens, 262.1K tokens of context
- [Ling 3.1 Flash](https://liquidinference.ai/models/ling-3.1-flash.md): declared precision provider-managed, us, $0.075 input and $0.220 output per million tokens, $0.015 cache read per million tokens, 262.1K tokens of context
- [Llama 3 8B Instruct](https://liquidinference.ai/models/llama3-8b-instruct.md): declared precision provider-managed, us, $0.030 input and $0.060 output per million tokens, $0.030 cache read per million tokens, 8,192 tokens of context
- [Llama 3.05 Nemotron Tenyxchat Storybreaker 70B](https://liquidinference.ai/models/llama-3.05-nemotron-tenyxchat-storybreaker-70b.md): declared precision provider-managed, us, $0.494 input and $0.494 output per million tokens, $0.494 cache read per million tokens, 16.4K tokens of context
- [Llama 3.05 Nt Storybreaker Ministral 70B](https://liquidinference.ai/models/llama-3.05-nt-storybreaker-ministral-70b.md): declared precision provider-managed, us, $0.494 input and $0.494 output per million tokens, $0.494 cache read per million tokens, 16.4K tokens of context
- [Llama 3.1 70B Instruct](https://liquidinference.ai/models/llama-3.1-70b-instruct.md): declared precision provider-managed, us, $0.400 input and $0.400 output per million tokens, $0.400 cache read per million tokens, 131.1K tokens of context
- [Llama 3.1 8B Instruct](https://liquidinference.ai/models/llama-3.1-8b-instruct.md): declared precision provider-managed, us, $0.020 input and $0.040 output per million tokens, $0.020 cache read per million tokens, 131.1K tokens of context
- [Llama 3.1 Nemotron 70B Instruct](https://liquidinference.ai/models/llama-3.1-nemotron-70b-instruct.md): declared precision provider-managed, us, $0.600 input and $0.600 output per million tokens, $0.600 cache read per million tokens, 131.1K tokens of context
- [Llama 3.1 Nemotron 70B Instruct Hf](https://liquidinference.ai/models/llama-3.1-nemotron-70b-instruct-hf.md): declared precision provider-managed, us, $0.357 input and $0.408 output per million tokens, $0.357 cache read per million tokens, 16.4K tokens of context
- [Llama 3.2 3B Instruct](https://liquidinference.ai/models/llama-3.2-3b-instruct.md): declared precision provider-managed, us, $0.020 input and $0.020 output per million tokens, $0.020 cache read per million tokens, 131.1K tokens of context
- [Llama 3.3 70B Instruct Abliterated](https://liquidinference.ai/models/llama-3.3-70b-instruct-abliterated.md): declared precision provider-managed, us, $0.699 input and $0.699 output per million tokens, $0.699 cache read per million tokens, 32.8K tokens of context
- [Llama 3.3 Nemotron Super 49B V1](https://liquidinference.ai/models/llama-3.3-nemotron-super-49b-v1.md): declared precision provider-managed, us, $0.150 input and $0.150 output per million tokens, $0.150 cache read per million tokens, 128K tokens of context
- [Llama 4 Maverick](https://liquidinference.ai/models/llama-4-maverick.md): declared precision provider-managed, us, $0.150 input and $0.599 output per million tokens, $0.150 cache read per million tokens, 1M tokens of context
- [Llama 4 Maverick 17B 128e Instruct FP8](https://liquidinference.ai/models/llama-4-maverick-17b-128e-instruct-fp8.md): declared precision provider-managed, us, $0.270 input and $0.850 output per million tokens, $0.270 cache read per million tokens, 1M tokens of context
- [Llama 4 Scout](https://liquidinference.ai/models/llama-4-scout.md): declared precision provider-managed, us, $0.085 input and $0.461 output per million tokens, $0.085 cache read per million tokens, 328K tokens of context
- [Llama 4 Scout 17B 16e Instruct](https://liquidinference.ai/models/llama-4-scout-17b-16e-instruct.md): declared precision provider-managed, us, $0.100 input and $0.300 output per million tokens, $0.100 cache read per million tokens, 327.7K tokens of context
- [Llama: Guard 3 8B](https://liquidinference.ai/models/llama-guard-3-8b.md): declared precision provider-managed, us, $0.055 input and $0.055 output per million tokens, $0.055 cache read per million tokens, 131.1K tokens of context
- [Llama: Guard 4 12B](https://liquidinference.ai/models/llama-guard-4-12b.md): declared precision provider-managed, us, $0.180 input and $0.180 output per million tokens, $0.180 cache read per million tokens, 163.8K tokens of context
- [Llama: Xlam 2 70B Fc R](https://liquidinference.ai/models/llama-xlam-2-70b-fc-r.md): declared precision provider-managed, us, $2.494 input and $2.494 output per million tokens, $2.494 cache read per million tokens, 128K tokens of context
- [Long Form](https://liquidinference.ai/models/long-form.md): declared precision provider-managed, us, $0.000100 per character, 4,097 tokens of context
- [Longcat 2.0](https://liquidinference.ai/models/longcat-2.0.md): declared precision provider-managed, us, $0.750 input and $3.002 output per million tokens, $0.015 cache read per million tokens, 1M tokens of context
- [Longcat 2.0:thinking](https://liquidinference.ai/models/longcat-2.0%3Athinking.md): declared precision provider-managed, us, $0.751 input and $3.004 output per million tokens, $0.015 cache read per million tokens, 1M tokens of context
- [Longcat 2.5 Preview](https://liquidinference.ai/models/longcat-2.5-preview.md): declared precision provider-managed, us, $0.787 input and $3.097 output per million tokens, $0.016 cache read per million tokens, 1M tokens of context
- [Longcat Image](https://liquidinference.ai/models/longcat-image.md): declared precision provider-managed, us, $0.150 per image, 32K tokens of context
- [Ltxv 2](https://liquidinference.ai/models/ltxv-2.md): declared precision provider-managed, us, $0.060 per second, 32K tokens of context
- [Ltxv 2 Fast](https://liquidinference.ai/models/ltxv-2-fast.md): declared precision provider-managed, us, $0.040 per second, 32K tokens of context
- [Lumimaid V0.2 70B](https://liquidinference.ai/models/lumimaid-v0.2-70b.md): declared precision provider-managed, us, $1.002 input and $1.504 output per million tokens, $1.002 cache read per million tokens, 16.4K tokens of context
- [M1](https://liquidinference.ai/models/m1.md): declared precision provider-managed, us, $0.400 input and $2.203 output per million tokens, $0.400 cache read per million tokens, 200K tokens of context
- [Magidonia 24B V4.3](https://liquidinference.ai/models/magidonia-24b-v4.3.md): declared precision provider-managed, us, $0.100 input and $0.121 output per million tokens, $0.100 cache read per million tokens, 32.8K tokens of context
- [Magnum V2 72B](https://liquidinference.ai/models/magnum-v2-72b.md): declared precision provider-managed, us, $2.006 input and $2.992 output per million tokens, $2.006 cache read per million tokens, 16.4K tokens of context
- [Magnum V4 72B](https://liquidinference.ai/models/magnum-v4-72b.md): declared precision provider-managed, us, $2.645 input and $5.289 output per million tokens, $2.645 cache read per million tokens, 16.4K tokens of context
- [Manta: Flash 1.0](https://liquidinference.ai/models/manta-flash-1.0.md): declared precision provider-managed, us, $0.020 input and $0.160 output per million tokens, $0.020 cache read per million tokens, 16.4K tokens of context
- [Manta: Mini 1.0](https://liquidinference.ai/models/manta-mini-1.0.md): declared precision provider-managed, us, $0.020 input and $0.160 output per million tokens, $0.020 cache read per million tokens, 8,192 tokens of context
- [Manta: Pro 1.0](https://liquidinference.ai/models/manta-pro-1.0.md): declared precision provider-managed, us, $0.060 input and $0.499 output per million tokens, $0.060 cache read per million tokens, 65.5K tokens of context
- [Mercury 2](https://liquidinference.ai/models/mercury-2.md): declared precision provider-managed, us, $0.250 input and $0.751 output per million tokens, $0.025 cache read per million tokens, 128K tokens of context
- [Mercury 2.5 Preview](https://liquidinference.ai/models/mercury-2.5-preview.md): declared precision provider-managed, us, $0.040 input and $0.150 output per million tokens, $0.0040 cache read per million tokens, 260K tokens of context
- [Mercury 3](https://liquidinference.ai/models/mercury-3.md): declared precision provider-managed, us, $0.100 input and $0.350 output per million tokens, $0.0100 cache read per million tokens, 1M tokens of context
- [Mercury: Coder Small](https://liquidinference.ai/models/mercury-coder-small.md): declared precision provider-managed, us, $0.250 input and $1.001 output per million tokens, $0.250 cache read per million tokens, 32.8K tokens of context
- [Meta: Llama 3 70B Instruct Abliterated V3.5](https://liquidinference.ai/models/meta-llama-3-70b-instruct-abliterated-v3.5.md): declared precision provider-managed, us, $0.701 input and $0.701 output per million tokens, $0.701 cache read per million tokens, 8,192 tokens of context
- [Meta: Llama 3.1 8B Instruct FP8](https://liquidinference.ai/models/meta-llama-3.1-8b-instruct-fp8.md): declared precision provider-managed, us, $0.020 input and $0.040 output per million tokens, $0.020 cache read per million tokens, 128K tokens of context
- [Mimo V2.5 Pro:thinking](https://liquidinference.ai/models/mimo-v2.5-pro%3Athinking.md): declared precision provider-managed, us, $0.489 input and $0.969 output per million tokens, $0.0040 cache read per million tokens, 1M tokens of context
- [Mimo v2.5:thinking](https://liquidinference.ai/models/mimo-v2.5%3Athinking.md): declared precision provider-managed, us, $0.421 input and $2.107 output per million tokens, $0.084 cache read per million tokens, 1M tokens of context
- [Mimo V2.6 Flash Abliterated](https://liquidinference.ai/models/mimo-v2.6-flash-abliterated.md): declared precision provider-managed, us, $0.499 input and $1.498 output per million tokens, $0.275 cache read per million tokens, 1M tokens of context
- [Mimo V2.6 Flash Rl](https://liquidinference.ai/models/mimo-v2.6-flash-rl.md): declared precision provider-managed, us, $0.140 input and $0.281 output per million tokens, $0.140 cache read per million tokens, 1M tokens of context
- [Mimo V2.6 Flash Uncensored](https://liquidinference.ai/models/mimo-v2.6-flash-uncensored.md): declared precision provider-managed, us, $0.500 input and $1.499 output per million tokens, $0.199 cache read per million tokens, 1M tokens of context
- [Mimo V2.6 Flash Uncensored:thinking](https://liquidinference.ai/models/mimo-v2.6-flash-uncensored%3Athinking.md): declared precision provider-managed, us, $0.500 input and $1.500 output per million tokens, $0.199 cache read per million tokens, 1M tokens of context
- [Mimo V2.6 Pro Rl](https://liquidinference.ai/models/mimo-v2.6-pro-rl.md): declared precision provider-managed, us, $0.436 input and $0.871 output per million tokens, $0.436 cache read per million tokens, 1M tokens of context
- [MiniMax 01](https://liquidinference.ai/models/minimax-01.md): declared precision provider-managed, us, $0.139 input and $1.120 output per million tokens, $0.139 cache read per million tokens, 1M tokens of context
- [MiniMax Latest](https://liquidinference.ai/models/minimax-latest.md): declared precision provider-managed, us, $0.230 input and $0.960 output per million tokens, $0.050 cache read per million tokens, 512K tokens of context
- [MiniMax M1](https://liquidinference.ai/models/minimax-m1.md): declared precision provider-managed, us, $0.140 input and $1.335 output per million tokens, $0.140 cache read per million tokens, 1M tokens of context
- [MiniMax M1 80k](https://liquidinference.ai/models/minimax-m1-80k.md): declared precision provider-managed, us, $0.549 input and $2.198 output per million tokens, $0.549 cache read per million tokens, 1M tokens of context
- [MiniMax M2.1](https://liquidinference.ai/models/MiniMax-M2.1.md): declared precision provider-managed, us, $0.300 input and $1.199 output per million tokens, $0.030 cache read per million tokens, 200K tokens of context
- [MiniMax M2.7 Turbo](https://liquidinference.ai/models/minimax-m2.7-turbo.md): declared precision provider-managed, us, $0.599 input and $2.395 output per million tokens, $0.599 cache read per million tokens, 204.8K tokens of context
- [MiniMax m3:thinking](https://liquidinference.ai/models/MiniMax-M3%3Athinking.md): declared precision provider-managed, us, $0.231 input and $0.962 output per million tokens, $0.050 cache read per million tokens, 512K tokens of context
- [MiniMax: Hailuo 02](https://liquidinference.ai/models/minimax-hailuo-02.md): declared precision provider-managed, us, $0.060 per second, 32K tokens of context
- [MiniMax: Hailuo 02 Pro](https://liquidinference.ai/models/minimax-hailuo-02-pro.md): declared precision provider-managed, us, $0.090 per second, 32K tokens of context
- [MiniMax: Hailuo 23 Pro](https://liquidinference.ai/models/minimax-hailuo-23-pro.md): declared precision provider-managed, us, $0.098 per second, 32K tokens of context
- [Ministral 14B 2512](https://liquidinference.ai/models/ministral-14b-2512.md): declared precision provider-managed, us, $0.200 input and $0.200 output per million tokens, $0.200 cache read per million tokens, 262.1K tokens of context
- [Ministral 14B Instruct 2512](https://liquidinference.ai/models/ministral-14b-instruct-2512.md): declared precision provider-managed, us, $0.100 input and $0.400 output per million tokens, $0.100 cache read per million tokens, 262.1K tokens of context
- [Ministral 3B 2512](https://liquidinference.ai/models/ministral-3b-2512.md): declared precision provider-managed, us, $0.100 input and $0.100 output per million tokens, $0.100 cache read per million tokens, 131.1K tokens of context
- [Ministral 8B 2512](https://liquidinference.ai/models/ministral-8b-2512.md): declared precision provider-managed, us, $0.150 input and $0.150 output per million tokens, $0.150 cache read per million tokens, 262.1K tokens of context
- [Mistral Large](https://liquidinference.ai/models/mistral-large.md): declared precision provider-managed, us, $2.003 input and $5.991 output per million tokens, $0.200 cache read per million tokens, 128K tokens of context
- [Mistral Saba](https://liquidinference.ai/models/mistral-saba.md): declared precision provider-managed, us, $0.199 input and $0.595 output per million tokens, $0.199 cache read per million tokens, 32.8K tokens of context
- [Mistral Small](https://liquidinference.ai/models/mistral-small.md): declared precision provider-managed, us, $0.100 input and $0.300 output per million tokens, $0.100 cache read per million tokens, 32K tokens of context
- [Mistral Tiny](https://liquidinference.ai/models/mistral-tiny.md): declared precision provider-managed, us, $0.250 input and $0.250 output per million tokens, $0.250 cache read per million tokens, 32K tokens of context
- [Mistral: Code Agent Latest](https://liquidinference.ai/models/mistral-code-agent-latest.md): declared precision provider-managed, us, $0.400 input and $2.000 output per million tokens, $0.400 cache read per million tokens, 262.1K tokens of context
- [Mistral: Code Latest](https://liquidinference.ai/models/mistral-code-latest.md): declared precision provider-managed, us, $0.300 input and $0.900 output per million tokens, $0.300 cache read per million tokens, 256K tokens of context
- [Mistral: Large 2402](https://liquidinference.ai/models/mistral-large-2402.md): declared precision provider-managed, us, $3.998 input and $11.994 output per million tokens, $3.998 cache read per million tokens, 32K tokens of context
- [Mistral: Large 4](https://liquidinference.ai/models/mistral-large-4.md): declared precision provider-managed, us, $0.679 input and $2.088 output per million tokens, $0.070 cache read per million tokens, 524.3K tokens of context
- [Mistral: Medium 2312](https://liquidinference.ai/models/mistral-medium-2312.md): declared precision provider-managed, us, $2.695 input and $8.085 output per million tokens, $2.695 cache read per million tokens, 32K tokens of context
- [Mistral: Medium 3](https://liquidinference.ai/models/mistral-medium-3.md): declared precision provider-managed, us, $0.400 input and $2.002 output per million tokens, $0.400 cache read per million tokens, 131.1K tokens of context
- [Mistral: Medium 3.1](https://liquidinference.ai/models/mistral-medium-3.1.md): declared precision provider-managed, us, $0.400 input and $1.999 output per million tokens, $0.400 cache read per million tokens, 131.1K tokens of context
- [Mistral: Medium 3.5](https://liquidinference.ai/models/mistral-medium-3.5.md): declared precision provider-managed, us, $1.497 input and $7.484 output per million tokens, $1.497 cache read per million tokens, 256K tokens of context
- [Mistral: Medium 3.5:thinking](https://liquidinference.ai/models/mistral-medium-3.5%3Athinking.md): declared precision provider-managed, us, $1.503 input and $7.514 output per million tokens, $1.503 cache read per million tokens, 256K tokens of context
- [Mistral: Nemo Instruct 2407](https://liquidinference.ai/models/mistral-nemo-instruct-2407.md): declared precision provider-managed, us, $0.100 input and $0.121 output per million tokens, $0.100 cache read per million tokens, 16.4K tokens of context
- [Mistral: Small 24B Instruct 2501](https://liquidinference.ai/models/mistral-small-24b-instruct-2501.md): declared precision provider-managed, us, $0.116 input and $0.347 output per million tokens, $0.116 cache read per million tokens, 32.8K tokens of context
- [Mistral: Small 3.1 24B Instruct](https://liquidinference.ai/models/mistral-small-3.1-24b-instruct.md): declared precision provider-managed, us, $0.100 input and $0.299 output per million tokens, $0.100 cache read per million tokens, 128K tokens of context
- [Mistral: Small 4 119B 2603:thinking](https://liquidinference.ai/models/mistral-small-4-119b-2603%3Athinking.md): declared precision provider-managed, us, $0.400 input and $1.400 output per million tokens, $0.400 cache read per million tokens, 262.1K tokens of context
- [Mixtral 8x22b Instruct V0.1](https://liquidinference.ai/models/mixtral-8x22b-instruct-v0.1.md): declared precision provider-managed, us, $2.000 input and $6.001 output per million tokens, $0.200 cache read per million tokens, 65.5K tokens of context
- [Mixtral 8x7b Instruct V0.1](https://liquidinference.ai/models/mixtral-8x7b-instruct-v0.1.md): declared precision provider-managed, us, $0.401 input and $0.401 output per million tokens, $0.401 cache read per million tokens, 32.8K tokens of context
- [Mn 12B Mag Mell R1](https://liquidinference.ai/models/mn-12b-mag-mell-r1.md): declared precision provider-managed, us, $0.494 input and $0.494 output per million tokens, $0.494 cache read per million tokens, 16.4K tokens of context
- [Mn: Loosecannon 12B V1](https://liquidinference.ai/models/mn-loosecannon-12b-v1.md): declared precision provider-managed, us, $0.494 input and $0.494 output per million tokens, $0.494 cache read per million tokens, 16.4K tokens of context
- [Moondream 3 Preview](https://liquidinference.ai/models/moondream3-preview.md): declared precision provider-managed, us, $0.300 input and $2.500 output per million tokens, $0.300 cache read per million tokens, 32K tokens of context
- [Moondream 3.1 9B a2b](https://liquidinference.ai/models/moondream3.1-9b-a2b.md): declared precision provider-managed, us, $0.299 input and $2.496 output per million tokens, $0.299 cache read per million tokens, 32K tokens of context
- [Morgana V1.2](https://liquidinference.ai/models/morgana-v1.2.md): declared precision provider-managed, us, $0.010 per image, 32K tokens of context
- [ms3.2 24B Magnum Diamond](https://liquidinference.ai/models/ms3.2-24b-magnum-diamond.md): declared precision provider-managed, us, $0.493 input and $0.493 output per million tokens, $0.493 cache read per million tokens, 32.8K tokens of context
- [ms3.2: The Omega Directive 24B Unslop V2.0](https://liquidinference.ai/models/ms3.2-the-omega-directive-24b-unslop-v2.0.md): declared precision provider-managed, us, $0.500 input and $0.500 output per million tokens, $0.500 cache read per million tokens, 32.8K tokens of context
- [Muse Wonder](https://liquidinference.ai/models/muse-wonder.md): declared precision provider-managed, us, $4.009 input and $20.045 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [Muse: Spark 1.2 Contributor](https://liquidinference.ai/models/muse-spark-1.2-contributor.md): declared precision provider-managed, us, $0.100 input and $0.200 output per million tokens, $0.0020 cache read per million tokens, 1M tokens of context
- [Muse: Spark 1.3 Contributor](https://liquidinference.ai/models/muse-spark-1.3-contributor.md): declared precision provider-managed, us, $0.100 input and $0.200 output per million tokens, $0.0020 cache read per million tokens, 1M tokens of context
- [Muse: Spark Open](https://liquidinference.ai/models/muse-spark-open.md): declared precision provider-managed, us, $1.249 input and $4.247 output per million tokens, $0.150 cache read per million tokens, 1M tokens of context
- [Muse: Spark Open 816B a42b:baseten](https://liquidinference.ai/models/muse-spark-open-816b-a42b%3Abaseten.md): declared precision provider-managed, us, $1.251 input and $4.252 output per million tokens, $1.251 cache read per million tokens, 1M tokens of context
- [Mythomax L2 13B](https://liquidinference.ai/models/mythomax-l2-13b.md): declared precision provider-managed, us, $0.100 input and $0.100 output per million tokens, $0.100 cache read per million tokens, 4,096 tokens of context
- [Nano: Banana 2](https://liquidinference.ai/models/nano-banana-2.md): declared precision provider-managed, us, $0.080 per image, 32K tokens of context
- [Nemomix: Unleashed 12B](https://liquidinference.ai/models/nemomix-unleashed-12b.md): declared precision provider-managed, us, $0.494 input and $0.494 output per million tokens, $0.494 cache read per million tokens, 32.8K tokens of context
- [Nemotron 3 Super 120B a12b:thinking](https://liquidinference.ai/models/nemotron-3-super-120b-a12b%3Athinking.md): declared precision provider-managed, us, $0.050 input and $0.250 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Nemotron 3 Ultra 550B a55b:thinking](https://liquidinference.ai/models/nemotron-3-ultra-550b-a55b%3Athinking.md): declared precision provider-managed, us, $0.500 input and $2.499 output per million tokens, $0.150 cache read per million tokens, 1M tokens of context
- [Nemotron 3.5 Content Safety](https://liquidinference.ai/models/nemotron-3.5-content-safety.md): declared precision provider-managed, us, $0.050 input and $0.150 output per million tokens, $0.025 cache read per million tokens, 131.1K tokens of context
- [Nemotron 3.5 Embed 1B BF16](https://liquidinference.ai/models/nemotron-3.5-embed-1b-bf16.md): declared precision provider-managed, us, $0.015 input per million tokens, 32.8K tokens of context
- [Nemotron 3.5 Embed 8B BF16](https://liquidinference.ai/models/nemotron-3.5-embed-8b-bf16.md): declared precision provider-managed, us, $0.035 input per million tokens, 32.8K tokens of context
- [Nemotron 3.5 Lightning:thinking](https://liquidinference.ai/models/nemotron-3.5-lightning%3Athinking.md): declared precision provider-managed, us, $0.050 input and $0.200 output per million tokens, $0.010 cache read per million tokens, 1M tokens of context
- [Nemotron 3.5 Super VL](https://liquidinference.ai/models/nemotron-3.5-super-vl.md): declared precision provider-managed, us, $0.150 input and $0.500 output per million tokens, $0.020 cache read per million tokens, 262.1K tokens of context
- [Nemotron: Nano 9B V2](https://liquidinference.ai/models/nemotron-nano-9b-v2.md): declared precision provider-managed, us, $0.040 input and $0.160 output per million tokens, $0.040 cache read per million tokens, 131.1K tokens of context
- [Nemotron: Sea Lion V4.8 120B a12b](https://liquidinference.ai/models/nemotron-sea-lion-v4.8-120b-a12b.md): declared precision provider-managed, us, $0.501 input and $2.003 output per million tokens, $0.501 cache read per million tokens, 262.1K tokens of context
- [Neural](https://liquidinference.ai/models/neural.md): declared precision provider-managed, us, $0.000016 per character, 4,097 tokens of context
- [Neuraldaredevil 8B Abliterated](https://liquidinference.ai/models/neuraldaredevil-8b-abliterated.md): declared precision provider-managed, us, $0.439 input and $0.439 output per million tokens, $0.439 cache read per million tokens, 8,192 tokens of context
- [Nex N2.5 Mini](https://liquidinference.ai/models/nex-n2.5-mini.md): declared precision provider-managed, us, $0.025 input and $0.100 output per million tokens, $0.0025 cache read per million tokens, 262.1K tokens of context
- [Nex N2.5 Pro](https://liquidinference.ai/models/nex-n2.5-pro.md): declared precision provider-managed, us, $0.075 input and $0.250 output per million tokens, $0.015 cache read per million tokens, 262.1K tokens of context
- [Nova 2 Atc](https://liquidinference.ai/models/nova-2-atc.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 Automotive](https://liquidinference.ai/models/nova-2-automotive.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 Conversationalai](https://liquidinference.ai/models/nova-2-conversationalai.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 Drivethru](https://liquidinference.ai/models/nova-2-drivethru.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context, the cheapest of 2 offers
- [Nova 2 Finance](https://liquidinference.ai/models/nova-2-finance.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 General](https://liquidinference.ai/models/nova-2-general.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 Meeting](https://liquidinference.ai/models/nova-2-meeting.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 Phonecall](https://liquidinference.ai/models/nova-2-phonecall.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 Video](https://liquidinference.ai/models/nova-2-video.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 2 Voicemail](https://liquidinference.ai/models/nova-2-voicemail.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 3](https://liquidinference.ai/models/nova-3.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context, the cheapest of 2 offers
- [Nova 3 General](https://liquidinference.ai/models/nova-3-general.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova 3 Medical](https://liquidinference.ai/models/nova-3-medical.md): declared precision provider-managed, us, $0.000087 per second, 1 tokens of context
- [Nova General](https://liquidinference.ai/models/nova-general.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova Phonecall](https://liquidinference.ai/models/nova-phonecall.md): declared precision provider-managed, us, $0.000072 per second, 1 tokens of context
- [Nova: Lite V1](https://liquidinference.ai/models/nova-lite-v1.md): declared precision provider-managed, us, $0.059 input and $0.238 output per million tokens, $0.059 cache read per million tokens, 300K tokens of context
- [Nova: Pro V1](https://liquidinference.ai/models/nova-pro-v1.md): declared precision provider-managed, us, $0.799 input and $3.196 output per million tokens, $0.799 cache read per million tokens, 300K tokens of context
- [Nvidia: Nemotron 3 Ultra 550B a55b BF16](https://liquidinference.ai/models/nvidia-nemotron-3-ultra-550b-a55b-bf16.md): declared precision provider-managed, us, $1.001 input and $5.003 output per million tokens, $1.001 cache read per million tokens, 262.1K tokens of context
- [Nvidia: Nemotron 3.5 Super VL 120B a12b Nvfp 4:baseten](https://liquidinference.ai/models/nvidia-nemotron-3.5-super-vl-120b-a12b-nvfp4%3Abaseten.md): declared precision provider-managed, us, $0.200 input and $0.499 output per million tokens, $0.200 cache read per million tokens, 1M tokens of context
- [O1](https://liquidinference.ai/models/o1.md): declared precision provider-managed, us, $15.028 input and $60.113 output per million tokens, $7.514 cache read per million tokens, 200K tokens of context
- [O1 Mini](https://liquidinference.ai/models/o1-mini.md): declared precision provider-managed, us, $1.209 input and $4.836 output per million tokens, $0.605 cache read per million tokens, 128K tokens of context
- [O1 Pro](https://liquidinference.ai/models/o1-pro.md): declared precision provider-managed, us, $149.780 input and $599.120 output per million tokens, $74.890 cache read per million tokens, 200K tokens of context
- [O3](https://liquidinference.ai/models/o3.md): declared precision provider-managed, us, $1.997 input and $7.987 output per million tokens, $0.998 cache read per million tokens, 200K tokens of context
- [O3 Mini](https://liquidinference.ai/models/o3-mini.md): declared precision provider-managed, us, $1.102 input and $4.407 output per million tokens, $0.551 cache read per million tokens, 200K tokens of context
- [O3: Deep Research](https://liquidinference.ai/models/o3-deep-research.md): declared precision provider-managed, us, $10.024 input and $40.096 output per million tokens, $2.506 cache read per million tokens, 200K tokens of context
- [O3: Deep Research 2025 06 26](https://liquidinference.ai/models/o3-deep-research-2025-06-26.md): declared precision provider-managed, us, $9.996 input and $39.984 output per million tokens, $2.499 cache read per million tokens, 200K tokens of context
- [O3: Mini Low](https://liquidinference.ai/models/o3-mini-low.md): declared precision provider-managed, us, $1.101 input and $4.403 output per million tokens, $0.550 cache read per million tokens, 200K tokens of context
- [O3: Pro 2025 06 10](https://liquidinference.ai/models/o3-pro-2025-06-10.md): declared precision provider-managed, us, $22.044 input and $88.174 output per million tokens, $11.022 cache read per million tokens, 200K tokens of context
- [O4: Mini Deep Research](https://liquidinference.ai/models/o4-mini-deep-research.md): declared precision provider-managed, us, $2.000 input and $8.000 output per million tokens, $0.500 cache read per million tokens, 200K tokens of context
- [O4: Mini Deep Research 2025 06 26](https://liquidinference.ai/models/o4-mini-deep-research-2025-06-26.md): declared precision provider-managed, us, $2.001 input and $8.005 output per million tokens, $0.500 cache read per million tokens, 200K tokens of context
- [Olmocr 7B 0725 FP8](https://liquidinference.ai/models/olmocr-7b-0725-fp8.md): declared precision provider-managed, us, $0.270 input and $1.501 output per million tokens, $0.270 cache read per million tokens, 16.4K tokens of context
- [Open: Mistral 7B](https://liquidinference.ai/models/open-mistral-7b.md): declared precision provider-managed, us, $0.250 input and $0.250 output per million tokens, $0.250 cache read per million tokens, 32K tokens of context
- [Open: Mixtral 8x22b](https://liquidinference.ai/models/open-mixtral-8x22b.md): declared precision provider-managed, us, $2.003 input and $6.008 output per million tokens, $2.003 cache read per million tokens, 65.3K tokens of context
- [Open: Mixtral 8x7b](https://liquidinference.ai/models/open-mixtral-8x7b.md): declared precision provider-managed, us, $0.701 input and $0.701 output per million tokens, $0.701 cache read per million tokens, 32K tokens of context
- [Openreasoning: Nemotron 32B](https://liquidinference.ai/models/openreasoning-nemotron-32b.md): declared precision provider-managed, us, $0.100 input and $0.400 output per million tokens, $0.100 cache read per million tokens, 32.8K tokens of context
- [Orcacyber: Zero 1.5](https://liquidinference.ai/models/orcacyber-zero-1.5.md): declared precision provider-managed, us, $2.994 input and $7.484 output per million tokens, $0.748 cache read per million tokens, 999.5K tokens of context
- [Ornith 1.5 122B](https://liquidinference.ai/models/ornith-1.5-122b.md): declared precision provider-managed, us, $0.260 input and $2.080 output per million tokens, $0.070 cache read per million tokens, 262.1K tokens of context
- [Ornith 1.5 35B a3b](https://liquidinference.ai/models/ornith-1.5-35b-a3b.md): declared precision provider-managed, us, $0.100 input and $0.400 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Ornith 1.5 35B a3b:thinking](https://liquidinference.ai/models/ornith-1.5-35b-a3b%3Athinking.md): declared precision provider-managed, us, $0.100 input and $0.399 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [P Video](https://liquidinference.ai/models/p-video.md): declared precision provider-managed, us, $0.020 per second, 32K tokens of context
- [Pareto 26.10](https://liquidinference.ai/models/pareto-26.10.md): declared precision provider-managed, us, $0.800 input and $3.200 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Pareto 26.9](https://liquidinference.ai/models/pareto-26.9.md): declared precision provider-managed, us, $2.503 input and $7.508 output per million tokens, $0.250 cache read per million tokens, 262.1K tokens of context
- [Particle 1](https://liquidinference.ai/models/particle-1.md): declared precision provider-managed, us, $0.250 input and $0.998 output per million tokens, $0.030 cache read per million tokens, 1M tokens of context
- [Perceptron mk1](https://liquidinference.ai/models/perceptron-mk1.md): declared precision provider-managed, us, $0.150 input and $1.497 output per million tokens, $0.150 cache read per million tokens, 32.8K tokens of context
- [Perceptron mk1.5](https://liquidinference.ai/models/perceptron-mk1.5.md): declared precision provider-managed, us, $0.150 input and $1.497 output per million tokens, $0.150 cache read per million tokens, 36.9K tokens of context
- [Phi 4](https://liquidinference.ai/models/phi-4.md): declared precision provider-managed, us, $0.070 input and $0.140 output per million tokens, $0.070 cache read per million tokens, 16.4K tokens of context
- [Phi 4 Mini Instruct](https://liquidinference.ai/models/phi-4-mini-instruct.md): declared precision provider-managed, us, $0.170 input and $0.681 output per million tokens, $0.170 cache read per million tokens, 128K tokens of context
- [Phi 4 Multimodal Instruct](https://liquidinference.ai/models/phi-4-multimodal-instruct.md): declared precision provider-managed, us, $0.070 input and $0.110 output per million tokens, $0.070 cache read per million tokens, 128K tokens of context
- [Pixtral 12B 2409](https://liquidinference.ai/models/pixtral-12b-2409.md): declared precision provider-managed, us, $0.150 input and $0.150 output per million tokens, $0.150 cache read per million tokens, 128K tokens of context
- [Playground V2.5](https://liquidinference.ai/models/playground-v2.5.md): declared precision provider-managed, us, $0.0085 per image, 32K tokens of context
- [Pokee Isaac](https://liquidinference.ai/models/pokee-isaac.md): declared precision provider-managed, us, $0.150 input and $0.998 output per million tokens, $0.150 cache read per million tokens, 250K tokens of context
- [Proteus](https://liquidinference.ai/models/proteus.md): declared precision provider-managed, us, $0.0034 per image, 32K tokens of context
- [Qwen 2 5 VL 72B Instruct](https://liquidinference.ai/models/qwen2-5-vl-72b-instruct.md): declared precision provider-managed, us, $0.701 input and $0.701 output per million tokens, $0.701 cache read per million tokens, 32K tokens of context
- [Qwen 2.5 32B Instruct Abliterated](https://liquidinference.ai/models/qwen2.5-32b-instruct-abliterated.md): declared precision provider-managed, us, $0.701 input and $0.701 output per million tokens, $0.701 cache read per million tokens, 32.8K tokens of context
- [Qwen 2.5 72B Instruct](https://liquidinference.ai/models/qwen-2.5-72b-instruct.md): declared precision provider-managed, us, $0.359 input and $0.399 output per million tokens, $0.359 cache read per million tokens, 32.8K tokens of context, the cheapest of 2 offers
- [Qwen 2.5 7B Instruct](https://liquidinference.ai/models/qwen2.5-7b-instruct.md): declared precision provider-managed, us, $0.040 input and $0.100 output per million tokens, $0.040 cache read per million tokens, 32.8K tokens of context
- [Qwen 2.5 Coder 32B Instruct](https://liquidinference.ai/models/qwen2.5-coder-32b-instruct.md): declared precision provider-managed, us, $0.200 input and $0.200 output per million tokens, $0.200 cache read per million tokens, 32K tokens of context
- [Qwen 2.5 VL 32B Instruct](https://liquidinference.ai/models/qwen2.5-vl-32b-instruct.md): declared precision provider-managed, us, $0.200 input and $0.600 output per million tokens, $0.200 cache read per million tokens, 128K tokens of context
- [Qwen 3 235B a22b](https://liquidinference.ai/models/qwen3-235b-a22b.md): declared precision provider-managed, us, $0.090 input and $0.549 output per million tokens, $0.090 cache read per million tokens, 262.1K tokens of context
- [Qwen 3 235B a22b Instruct 2507](https://liquidinference.ai/models/qwen3-235b-a22b-instruct-2507.md): declared precision provider-managed, us, $0.090 input and $0.551 output per million tokens, $0.090 cache read per million tokens, 262.1K tokens of context
- [Qwen 3 235B a22b Thinking 2507](https://liquidinference.ai/models/qwen3-235b-a22b-thinking-2507.md): declared precision provider-managed, us, $0.300 input and $0.499 output per million tokens, $0.300 cache read per million tokens, 131.1K tokens of context
- [Qwen 3 30B a3b Instruct 2507](https://liquidinference.ai/models/qwen3-30b-a3b-instruct-2507.md): declared precision provider-managed, us, $0.200 input and $0.499 output per million tokens, $0.200 cache read per million tokens, 256K tokens of context
- [Qwen 3 Coder 30B a3b Instruct](https://liquidinference.ai/models/qwen3-coder-30b-a3b-instruct.md): declared precision provider-managed, us, $0.100 input and $0.400 output per million tokens, $0.100 cache read per million tokens, 128K tokens of context
- [Qwen 3 Coder 480B a35b Instruct](https://liquidinference.ai/models/qwen3-coder-480b-a35b-instruct.md): declared precision provider-managed, us, $0.400 input and $1.601 output per million tokens, $0.400 cache read per million tokens, 262.1K tokens of context
- [Qwen 3 Coder Next](https://liquidinference.ai/models/qwen3-coder-next.md): declared precision provider-managed, us, $0.120 input and $0.801 output per million tokens, $0.070 cache read per million tokens, 262.1K tokens of context
- [Qwen 3 Embedding 4B](https://liquidinference.ai/models/qwen3-embedding-4b.md): declared precision provider-managed, us, $0.020 input per million tokens, 32.8K tokens of context
- [Qwen 3 Embedding 8B](https://liquidinference.ai/models/qwen3-embedding-8b.md): declared precision provider-managed, us, $0.010 input per million tokens, 32.8K tokens of context
- [Qwen 3 Next 80B a3b Instruct](https://liquidinference.ai/models/qwen3-next-80b-a3b-instruct.md): declared precision provider-managed, us, $0.090 input and $1.098 output per million tokens, $0.090 cache read per million tokens, 262.1K tokens of context
- [Qwen 3 Next 80B a3b Thinking](https://liquidinference.ai/models/qwen3-next-80b-a3b-thinking.md): declared precision provider-managed, us, $0.150 input and $0.651 output per million tokens, $0.150 cache read per million tokens, 256K tokens of context
- [Qwen 3 VL 30B a3b Instruct](https://liquidinference.ai/models/qwen3-vl-30b-a3b-instruct.md): declared precision provider-managed, us, $0.150 input and $0.599 output per million tokens, $0.150 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 122B a10b:thinking](https://liquidinference.ai/models/qwen3.5-122b-a10b%3Athinking.md): declared precision provider-managed, us, $0.261 input and $2.084 output per million tokens, $0.261 cache read per million tokens, 131.1K tokens of context
- [Qwen 3.5 27B Blossom V6.4 Derestricted](https://liquidinference.ai/models/qwen3.5-27b-blossom-v6.4-derestricted.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 27B Bluestar V3 Derestricted](https://liquidinference.ai/models/qwen3.5-27b-bluestar-v3-derestricted.md): declared precision provider-managed, us, $0.307 input and $0.307 output per million tokens, $0.307 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 27B Claude 4.6 Opus Reasoning Distilled Derestricted](https://liquidinference.ai/models/qwen3.5-27b-claude-4.6-opus-reasoning-distilled-derestricted.md): declared precision provider-managed, us, $0.307 input and $0.307 output per million tokens, $0.031 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 27B Claude 4.6 Opus Reasoning Distilled Derestricted Lite](https://liquidinference.ai/models/qwen3.5-27b-claude-4.6-opus-reasoning-distilled-derestricted-lite.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.031 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 27B Queen Derestricted](https://liquidinference.ai/models/qwen3.5-27b-queen-derestricted.md): declared precision provider-managed, us, $0.306 input and $0.306 output per million tokens, $0.306 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 27b:thinking](https://liquidinference.ai/models/qwen3.5-27b%3Athinking.md): declared precision provider-managed, us, $0.200 input and $1.750 output per million tokens, $0.020 cache read per million tokens, 260.1K tokens of context
- [Qwen 3.5 35B a3b:thinking](https://liquidinference.ai/models/qwen3.5-35b-a3b%3Athinking.md): declared precision provider-managed, us, $0.140 input and $1.001 output per million tokens, $0.050 cache read per million tokens, 260.1K tokens of context
- [Qwen 3.5 397B a17b:thinking](https://liquidinference.ai/models/qwen3.5-397b-a17b%3Athinking.md): declared precision provider-managed, us, $0.389 input and $2.334 output per million tokens, $0.389 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 Flash:thinking](https://liquidinference.ai/models/qwen3.5-flash%3Athinking.md): declared precision provider-managed, us, $0.100 input and $0.399 output per million tokens, $0.100 cache read per million tokens, 991.8K tokens of context
- [Qwen 3.5 Plus 20260218](https://liquidinference.ai/models/qwen3.5-plus-20260218.md): declared precision provider-managed, us, $0.400 input and $2.402 output per million tokens, $0.400 cache read per million tokens, 256K tokens of context
- [Qwen 3.5 Plus:thinking](https://liquidinference.ai/models/qwen3.5-plus%3Athinking.md): declared precision provider-managed, us, $0.400 input and $2.399 output per million tokens, $0.040 cache read per million tokens, 983.6K tokens of context
- [Qwen 3.6 27b:thinking](https://liquidinference.ai/models/qwen3.6-27b%3Athinking.md): declared precision provider-managed, us, $0.203 input and $2.242 output per million tokens, $0.203 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.6 35B a3b:thinking](https://liquidinference.ai/models/qwen3.6-35b-a3b%3Athinking.md): declared precision provider-managed, us, $0.112 input and $0.800 output per million tokens, $0.112 cache read per million tokens, 1M tokens of context
- [Qwen 3.6 Max Preview](https://liquidinference.ai/models/qwen3.6-max-preview.md): declared precision provider-managed, us, $1.041 input and $6.244 output per million tokens, $1.041 cache read per million tokens, 245.8K tokens of context
- [Qwen 3.7 Flash:thinking](https://liquidinference.ai/models/qwen3.7-flash%3Athinking.md): declared precision provider-managed, us, $0.030 input and $0.130 output per million tokens, $0.0060 cache read per million tokens, 32K tokens of context
- [Qwen 3.7 Max:thinking](https://liquidinference.ai/models/qwen3.7-max%3Athinking.md): declared precision provider-managed, us, $1.473 input and $4.418 output per million tokens, $0.295 cache read per million tokens, 1M tokens of context
- [Qwen 3.7 Plus:thinking](https://liquidinference.ai/models/qwen3.7-plus%3Athinking.md): declared precision provider-managed, us, $0.401 input and $1.604 output per million tokens, $0.080 cache read per million tokens, 256K tokens of context
- [Qwen 3.8 27B Antislop](https://liquidinference.ai/models/qwen3.8-27b-antislop.md): declared precision provider-managed, us, $0.100 input and $0.599 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Cybersecurity](https://liquidinference.ai/models/qwen3.8-27b-cybersecurity.md): declared precision provider-managed, us, $0.100 input and $0.599 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Darkidol](https://liquidinference.ai/models/qwen3.8-27b-darkidol.md): declared precision provider-managed, us, $0.100 input and $0.601 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Fable](https://liquidinference.ai/models/qwen3.8-27b-fable.md): declared precision provider-managed, us, $0.249 input and $1.496 output per million tokens, $0.125 cache read per million tokens, 524.3K tokens of context
- [Qwen 3.8 27B Fimi](https://liquidinference.ai/models/qwen3.8-27b-fimi.md): declared precision provider-managed, us, $0.100 input and $0.600 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Hemmingway](https://liquidinference.ai/models/qwen3.8-27b-hemmingway.md): declared precision provider-managed, us, $0.249 input and $1.496 output per million tokens, $0.125 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Kimiko](https://liquidinference.ai/models/qwen3.8-27b-kimiko.md): declared precision provider-managed, us, $0.100 input and $0.601 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Kiwen](https://liquidinference.ai/models/qwen3.8-27b-kiwen.md): declared precision provider-managed, us, $0.100 input and $0.601 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Novelist](https://liquidinference.ai/models/qwen3.8-27b-novelist.md): declared precision provider-managed, us, $0.100 input and $0.599 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Queen](https://liquidinference.ai/models/qwen3.8-27b-queen.md): declared precision provider-managed, us, $0.250 input and $1.499 output per million tokens, $0.125 cache read per million tokens, 524.3K tokens of context
- [Qwen 3.8 27B Swift](https://liquidinference.ai/models/qwen3.8-27b-swift.md): declared precision provider-managed, us, $0.100 input and $0.601 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Synthia](https://liquidinference.ai/models/qwen3.8-27b-synthia.md): declared precision provider-managed, us, $0.100 input and $0.601 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B Uncensored](https://liquidinference.ai/models/qwen3.8-27b-uncensored.md): declared precision provider-managed, us, $0.998 input and $2.993 output per million tokens, $0.219 cache read per million tokens, 1M tokens of context
- [Qwen 3.8 27B Uncensored Fast](https://liquidinference.ai/models/qwen3.8-27b-uncensored-fast.md): declared precision provider-managed, us, $1.002 input and $3.006 output per million tokens, $0.220 cache read per million tokens, 524.3K tokens of context
- [Qwen 3.8 27B Uncensored:thinking](https://liquidinference.ai/models/qwen3.8-27b-uncensored%3Athinking.md): declared precision provider-managed, us, $0.998 input and $2.994 output per million tokens, $0.220 cache read per million tokens, 1M tokens of context
- [Qwen 3.8 Flash Next FP8](https://liquidinference.ai/models/qwen3.8-flash-next-fp8.md): declared precision provider-managed, us, $0.150 input and $0.471 output per million tokens, $0.150 cache read per million tokens, 1M tokens of context
- [Qwen 3.8 Max Prime](https://liquidinference.ai/models/qwen3.8-max-prime.md): declared precision provider-managed, us, $4.002 input and $12.005 output per million tokens, $0.500 cache read per million tokens, 1M tokens of context
- [Qwen 3.8 Max:thinking](https://liquidinference.ai/models/qwen3.8-max%3Athinking.md): declared precision provider-managed, us, $1.997 input and $5.992 output per million tokens, $0.250 cache read per million tokens, 991K tokens of context
- [Qwen Image](https://liquidinference.ai/models/qwen-image.md): declared precision provider-managed, us, $0.035 per image, 32K tokens of context
- [Qwen Max](https://liquidinference.ai/models/qwen-max.md): declared precision provider-managed, us, $1.597 input and $6.380 output per million tokens, $1.597 cache read per million tokens, 32K tokens of context
- [Qwen Plus](https://liquidinference.ai/models/qwen-plus.md): declared precision provider-managed, us, $0.399 input and $1.199 output per million tokens, $0.399 cache read per million tokens, 995.9K tokens of context
- [Qwen Turbo](https://liquidinference.ai/models/qwen-turbo.md): declared precision provider-managed, us, $0.050 input and $0.200 output per million tokens, $0.050 cache read per million tokens, 1M tokens of context
- [Qwen: Image 2.0 Pro](https://liquidinference.ai/models/qwen-image-2.0-pro.md): declared precision provider-managed, us, $0.075 per image, 32K tokens of context
- [Qwen: Image 2512](https://liquidinference.ai/models/qwen-image-2512.md): declared precision provider-managed, us, $0.025 per image, 32K tokens of context
- [Qwen: Image Max](https://liquidinference.ai/models/qwen-image-max.md): declared precision provider-managed, us, $0.070 per image, 32K tokens of context
- [Qwen: Sea Lion V4 32B It](https://liquidinference.ai/models/qwen-sea-lion-v4-32b-it.md): declared precision provider-managed, us, $0.249 input and $0.499 output per million tokens, $0.249 cache read per million tokens, 32K tokens of context
- [Qwen: Text Embedding V3](https://liquidinference.ai/models/qwen-text-embedding-v3.md): declared precision provider-managed, us, $0.070 input per million tokens, 8,192 tokens of context
- [Qwen: Text Embedding V4](https://liquidinference.ai/models/qwen-text-embedding-v4.md): declared precision provider-managed, us, $0.070 input per million tokens, 8,192 tokens of context
- [Qwerky 72B](https://liquidinference.ai/models/qwerky-72b.md): declared precision provider-managed, us, $0.501 input and $0.501 output per million tokens, $0.501 cache read per million tokens, 32K tokens of context
- [Qwq 32B](https://liquidinference.ai/models/qwq-32b.md): declared precision provider-managed, us, $0.150 input and $0.401 output per million tokens, $0.150 cache read per million tokens, 131.1K tokens of context
- [Recraft V3](https://liquidinference.ai/models/recraft-v3.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Recraft V4](https://liquidinference.ai/models/recraft-v4.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Recraft V4 Pro](https://liquidinference.ai/models/recraft-v4-pro.md): declared precision provider-managed, us, $0.250 per image, 32K tokens of context
- [Recraft V4 Style](https://liquidinference.ai/models/recraft-v4-style.md): declared precision provider-managed, us, $0.038 per image, 32K tokens of context
- [Recraft V4 Style Pro](https://liquidinference.ai/models/recraft-v4-style-pro.md): declared precision provider-managed, us, $0.110 per image, 32K tokens of context
- [Recraft V4.1](https://liquidinference.ai/models/recraft-v4.1.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Recraft V4.1 Flash](https://liquidinference.ai/models/recraft-v4.1-flash.md): declared precision provider-managed, us, $0.0080 per image, 32K tokens of context
- [Recraft V4.1 Pro](https://liquidinference.ai/models/recraft-v4.1-pro.md): declared precision provider-managed, us, $0.249 per image, 32K tokens of context
- [Recraft V4.1 Pro Text To Image Utility](https://liquidinference.ai/models/recraft-v4.1-pro-text-to-image-utility.md): declared precision provider-managed, us, $0.250 per image, 32K tokens of context
- [Recraft V4.1 Text To Image Utility](https://liquidinference.ai/models/recraft-v4.1-text-to-image-utility.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Reka: Edge 2603](https://liquidinference.ai/models/reka-edge-2603.md): declared precision provider-managed, us, $0.105 input and $0.105 output per million tokens, $0.105 cache read per million tokens, 16.4K tokens of context
- [Remm: Slerp L2 13B](https://liquidinference.ai/models/remm-slerp-l2-13b.md): declared precision provider-managed, us, $0.800 input and $1.208 output per million tokens, $0.800 cache read per million tokens, 6,144 tokens of context
- [Rev Animated](https://liquidinference.ai/models/rev-animated.md): declared precision provider-managed, us, $0.0017 per image, 32K tokens of context
- [Rocinante 12B V1.1](https://liquidinference.ai/models/rocinante-12b-v1.1.md): declared precision provider-managed, us, $0.407 input and $0.594 output per million tokens, $0.407 cache read per million tokens, 16.4K tokens of context
- [Sarvam 105B](https://liquidinference.ai/models/sarvam-105b.md): declared precision provider-managed, us, $0.054 input and $0.213 output per million tokens, $0.034 cache read per million tokens, 131.1K tokens of context
- [Schematron V2 Small](https://liquidinference.ai/models/schematron-v2-small.md): declared precision provider-managed, us, $0.050 input and $0.230 output per million tokens, $0.050 cache read per million tokens, 128K tokens of context
- [Schematron V2 Turbo](https://liquidinference.ai/models/schematron-v2-turbo.md): declared precision provider-managed, us, $0.030 input and $0.150 output per million tokens, $0.030 cache read per million tokens, 128K tokens of context
- [sd3](https://liquidinference.ai/models/sd3.md): declared precision provider-managed, us, $0.065 per image, 32K tokens of context
- [Seedream 3.0](https://liquidinference.ai/models/seedream-3.0.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Seedream 5.0 Lite Preview](https://liquidinference.ai/models/seedream-5.0-lite-preview.md): declared precision provider-managed, us, $0.035 per image, 32K tokens of context
- [Seedream V5.0 Lite](https://liquidinference.ai/models/seedream-v5.0-lite.md): declared precision provider-managed, us, $0.035 per image, 32K tokens of context
- [Seedream V5.0 Lite Sequential](https://liquidinference.ai/models/seedream-v5.0-lite-sequential.md): declared precision provider-managed, us, $0.035 per image, 32K tokens of context
- [Shisa V2 Llama 3.3 70B](https://liquidinference.ai/models/shisa-v2-llama3.3-70b.md): declared precision provider-managed, us, $0.500 input and $0.500 output per million tokens, $0.500 cache read per million tokens, 128K tokens of context
- [Shisa V2.1 Llama 3.3 70B](https://liquidinference.ai/models/shisa-v2.1-llama3.3-70b.md): declared precision provider-managed, us, $0.500 input and $0.500 output per million tokens, $0.500 cache read per million tokens, 32.8K tokens of context
- [Solar: Mini 4](https://liquidinference.ai/models/solar-mini4.md): declared precision provider-managed, us, $0.050 input and $0.200 output per million tokens, $0.0050 cache read per million tokens, 524.3K tokens of context
- [Solar: Mini 4:thinking](https://liquidinference.ai/models/solar-mini4%3Athinking.md): declared precision provider-managed, us, $0.050 input and $0.200 output per million tokens, $0.0050 cache read per million tokens, 524.3K tokens of context
- [Solar: Pro 3](https://liquidinference.ai/models/solar-pro-3.md): declared precision provider-managed, us, $0.150 input and $0.601 output per million tokens, $0.015 cache read per million tokens, 131.1K tokens of context
- [Solar: Pro 4](https://liquidinference.ai/models/solar-pro4.md): declared precision provider-managed, us, $0.150 input and $0.600 output per million tokens, $0.030 cache read per million tokens, 524.3K tokens of context
- [Solar: Pro 4:thinking](https://liquidinference.ai/models/solar-pro4%3Athinking.md): declared precision provider-managed, us, $0.150 input and $0.600 output per million tokens, $0.030 cache read per million tokens, 524.3K tokens of context
- [Speech: To Text](https://liquidinference.ai/models/speech-to-text.md): declared precision provider-managed, us, $0.00012 per second, 1 tokens of context
- [Stable: Diffusion 3 Large](https://liquidinference.ai/models/stable-diffusion-3-large.md): declared precision provider-managed, us, $0.065 per image, 32K tokens of context
- [Stable: Diffusion 3 Large Turbo](https://liquidinference.ai/models/stable-diffusion-3-large-turbo.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Stable: Diffusion 3 Medium](https://liquidinference.ai/models/stable-diffusion-3-medium.md): declared precision provider-managed, us, $0.035 per image, 32K tokens of context
- [Stable: Diffusion 3.5 Large](https://liquidinference.ai/models/stable-diffusion-3.5-large.md): declared precision provider-managed, us, $0.065 per image, 32K tokens of context, the cheapest of 2 offers
- [Stable: Diffusion 3.5 Large Turbo](https://liquidinference.ai/models/stable-diffusion-3.5-large-turbo.md): declared precision provider-managed, us, $0.040 per image, 32K tokens of context
- [Stable: Diffusion 3.5 Medium](https://liquidinference.ai/models/stable-diffusion-3.5-medium.md): declared precision provider-managed, us, $0.035 per image, 32K tokens of context
- [Stable: Diffusion V35 Large Turbo](https://liquidinference.ai/models/stable-diffusion-v35-large-turbo.md): declared precision provider-managed, us, $0.026 per image, 32K tokens of context
- [Stable: Image Core](https://liquidinference.ai/models/stable-image-core.md): declared precision provider-managed, us, $0.030 per image, 32K tokens of context
- [Stable: Image Ultra](https://liquidinference.ai/models/stable-image-ultra.md): declared precision provider-managed, us, $0.080 per image, 32K tokens of context
- [Standard](https://liquidinference.ai/models/standard.md): declared precision provider-managed, us, $0.0000040 per character, 4,097 tokens of context
- [Starcannon: Unleashed 12B V1.0](https://liquidinference.ai/models/starcannon-unleashed-12b-v1.0.md): declared precision provider-managed, us, $0.494 input and $0.494 output per million tokens, $0.494 cache read per million tokens, 16.4K tokens of context
- [Step 3.5 Flash](https://liquidinference.ai/models/step-3.5-flash.md): declared precision provider-managed, us, $0.100 input and $0.300 output per million tokens, $0.100 cache read per million tokens, 262.1K tokens of context
- [Step 3.5 Flash 2603](https://liquidinference.ai/models/step-3.5-flash-2603.md): declared precision provider-managed, us, $0.100 input and $0.300 output per million tokens, $0.100 cache read per million tokens, 262.1K tokens of context
- [Step 3.7 Flash](https://liquidinference.ai/models/step-3.7-flash.md): declared precision provider-managed, us, $0.200 input and $1.152 output per million tokens, $0.200 cache read per million tokens, 262.1K tokens of context
- [Step 3.7 Flash:thinking](https://liquidinference.ai/models/step-3.7-flash%3Athinking.md): declared precision provider-managed, us, $0.200 input and $1.151 output per million tokens, $0.040 cache read per million tokens, 262.1K tokens of context
- [Step 5 Preview](https://liquidinference.ai/models/step-5-preview.md): declared precision provider-managed, us, $0.999 input and $2.696 output per million tokens, $0.050 cache read per million tokens, 1M tokens of context
- [Synth 2.5 Flash](https://liquidinference.ai/models/synth-2.5-flash.md): declared precision provider-managed, us, $0.030 input and $0.100 output per million tokens, $0.030 cache read per million tokens, 30K tokens of context
- [Synth 2.5 Pro](https://liquidinference.ai/models/synth-2.5-pro.md): declared precision provider-managed, us, $0.100 input and $0.200 output per million tokens, $0.100 cache read per million tokens, 30K tokens of context
- [Ternary: Bonsai 2 27B](https://liquidinference.ai/models/ternary-bonsai-2-27b.md): declared precision provider-managed, us, $0.075 input and $0.500 output per million tokens, $0.075 cache read per million tokens, 262.1K tokens of context
- [Ternary: Bonsai 2 9B](https://liquidinference.ai/models/ternary-bonsai-2-9b.md): declared precision provider-managed, us, $0.080 input and $0.130 output per million tokens, $0.040 cache read per million tokens, 262.1K tokens of context
- [Text: Embedding 3 Large](https://liquidinference.ai/models/text-embedding-3-large.md): declared precision provider-managed, us, $0.130 input per million tokens, 8,000 tokens of context
- [Text: Embedding 3 Small](https://liquidinference.ai/models/text-embedding-3-small.md): declared precision provider-managed, us, $0.020 input per million tokens, 8,000 tokens of context
- [Text: Embedding Ada 002](https://liquidinference.ai/models/text-embedding-ada-002.md): declared precision provider-managed, us, $0.100 input per million tokens, 8,000 tokens of context
- [Text: Embedding V3](https://liquidinference.ai/models/text-embedding-v3.md): declared precision provider-managed, us, $0.070 input per million tokens, 8,192 tokens of context
- [Text: Multilingual Embedding 002](https://liquidinference.ai/models/text-multilingual-embedding-002.md): declared precision provider-managed, us, $0.025 input per million tokens, 2,000 tokens of context
- [Trinity: Large Thinking](https://liquidinference.ai/models/trinity-large-thinking.md): declared precision provider-managed, us, $0.250 input and $0.899 output per million tokens, $0.250 cache read per million tokens, 262.1K tokens of context
- [Tts 1](https://liquidinference.ai/models/tts-1.md): declared precision provider-managed, us, $0.000015 per character, 4,097 tokens of context
- [Tts 1 1106](https://liquidinference.ai/models/tts-1-1106.md): declared precision provider-managed, us, $0.000015 per character, 4,097 tokens of context
- [Tts 1 Hd](https://liquidinference.ai/models/tts-1-hd.md): declared precision provider-managed, us, $0.000030 per character, 4,097 tokens of context
- [Tts 1 Hd 1106](https://liquidinference.ai/models/tts-1-hd-1106.md): declared precision provider-managed, us, $0.000030 per character, 4,097 tokens of context
- [Unslopnemo 12B V4.1](https://liquidinference.ai/models/unslopnemo-12b-v4.1.md): declared precision provider-managed, us, $0.492 input and $0.492 output per million tokens, $0.492 cache read per million tokens, 8,192 tokens of context
- [V1](https://liquidinference.ai/models/v1.md): declared precision provider-managed, us, $0.000047 per second, 1 tokens of context
- [Veiled: Calla 12B](https://liquidinference.ai/models/veiled-calla-12b.md): declared precision provider-managed, us, $0.300 input and $0.300 output per million tokens, $0.300 cache read per million tokens, 32.8K tokens of context
- [Venice Uncensored](https://liquidinference.ai/models/venice-uncensored.md): declared precision provider-managed, us, $0.400 input and $1.801 output per million tokens, $0.400 cache read per million tokens, 128K tokens of context
- [Veo 3.1](https://liquidinference.ai/models/veo3.1.md): declared precision provider-managed, us, $0.401 per second, 32K tokens of context
- [Voxtral: Mini 2602](https://liquidinference.ai/models/voxtral-mini-2602.md): declared precision provider-managed, us, $0.000050 per second, 1 tokens of context
- [Voxtral: Mini Latest](https://liquidinference.ai/models/voxtral-mini-latest.md): declared precision provider-managed, us, $0.000050 per second, 1 tokens of context
- [Voxtral: Mini Transcribe 3.0](https://liquidinference.ai/models/voxtral-mini-transcribe-3.0.md): declared precision provider-managed, us, $0.000058 per second, 1 tokens of context, the cheapest of 2 offers
- [Voxtral: Mini Transcribe Realtime 3](https://liquidinference.ai/models/voxtral-mini-transcribe-realtime-3.md): declared precision provider-managed, us, $0.00013 per second, 1 tokens of context
- [Voxtral: Mini Transcribe Realtime 3.0](https://liquidinference.ai/models/voxtral-mini-transcribe-realtime-3.0.md): declared precision provider-managed, us, $0.00013 per second, 1 tokens of context
- [Voxtral: Mini Tts 2603](https://liquidinference.ai/models/voxtral-mini-tts-2603.md): declared precision provider-managed, us, $0.000016 per character, 4,097 tokens of context
- [Voxtral: Mini Tts 3](https://liquidinference.ai/models/voxtral-mini-tts-3.md): declared precision provider-managed, us, $0.000013 per character, 4,097 tokens of context
- [Voxtral: Mini Tts 3.0](https://liquidinference.ai/models/voxtral-mini-tts-3.0.md): declared precision provider-managed, us, $0.000013 per character, 4,097 tokens of context
- [Voxtral: Mini Tts Latest](https://liquidinference.ai/models/voxtral-mini-tts-latest.md): declared precision provider-managed, us, $0.000016 per character, 4,097 tokens of context
- [Voxtral: Small Transcribe 3.0](https://liquidinference.ai/models/voxtral-small-transcribe-3.0.md): declared precision provider-managed, us, $0.000067 per second, 1 tokens of context, the cheapest of 2 offers
- [Voyage: Code 2](https://liquidinference.ai/models/voyage-code-2.md): declared precision provider-managed, us, $0.100 input per million tokens, 4,000 tokens of context
- [Voyage: Large 2](https://liquidinference.ai/models/voyage-large-2.md): declared precision provider-managed, us, $0.120 input per million tokens, 16K tokens of context
- [Voyage: Large 2 Instruct](https://liquidinference.ai/models/voyage-large-2-instruct.md): declared precision provider-managed, us, $0.120 input per million tokens, 16K tokens of context
- [Wan 2.2 t2i Flash](https://liquidinference.ai/models/wan2.2-t2i-flash.md): declared precision provider-managed, us, $0.025 per image, 32K tokens of context
- [Wan 2.2 t2i Plus](https://liquidinference.ai/models/wan2.2-t2i-plus.md): declared precision provider-managed, us, $0.050 per image, 32K tokens of context
- [Wan 2.5 t2i Preview](https://liquidinference.ai/models/wan2.5-t2i-preview.md): declared precision provider-managed, us, $0.030 per image, 32K tokens of context
- [Wan 2.6 Image](https://liquidinference.ai/models/wan2.6-image.md): declared precision provider-managed, us, $0.030 per image, 32K tokens of context, the cheapest of 2 offers
- [Wan 2.7 Image](https://liquidinference.ai/models/wan2.7-image.md): declared precision provider-managed, us, $0.030 per image, 32K tokens of context
- [Wan 2.7 Image Pro](https://liquidinference.ai/models/wan2.7-image-pro.md): declared precision provider-managed, us, $0.075 per image, 32K tokens of context, the cheapest of 2 offers
- [Wayfarer: Large 70B Llama 3.3](https://liquidinference.ai/models/wayfarer-large-70b-llama-3.3.md): declared precision provider-managed, us, $0.700 input and $0.700 output per million tokens, $0.700 cache read per million tokens, 32.8K tokens of context
- [Whisper 1](https://liquidinference.ai/models/whisper-1.md): declared precision provider-managed, us, $0.00017 per second, 1 tokens of context
- [Whisper Base](https://liquidinference.ai/models/whisper-base.md): declared precision provider-managed, us, $0.00010 per second, 1 tokens of context, the cheapest of 2 offers
- [Whisper Medium](https://liquidinference.ai/models/whisper-medium.md): declared precision provider-managed, us, $0.000100 per second, 1 tokens of context, the cheapest of 2 offers
- [Whisper Small](https://liquidinference.ai/models/whisper-small.md): declared precision provider-managed, us, $0.000100 per second, 1 tokens of context
- [Whisper Tiny](https://liquidinference.ai/models/whisper-tiny.md): declared precision provider-managed, us, $0.00010 per second, 1 tokens of context
- [Whisper: Large V3](https://liquidinference.ai/models/whisper-large-v3.md): declared precision provider-managed, us, $0.0000083 per second, 1 tokens of context, the cheapest of 2 offers
- [Wizardlm 2 8x22b](https://liquidinference.ai/models/wizardlm-2-8x22b.md): declared precision provider-managed, us, $0.481 input and $0.481 output per million tokens, $0.481 cache read per million tokens, 65.5K tokens of context
- [Wizper](https://liquidinference.ai/models/wizper.md): declared precision provider-managed, us, $0.00028 per second, 1 tokens of context
- [Xing 4.0 29B a4b](https://liquidinference.ai/models/xing4.0-29b-a4b.md): declared precision provider-managed, us, $0.220 input and $0.900 output per million tokens, $0.011 cache read per million tokens, 262.1K tokens of context
- [Z: Image Base](https://liquidinference.ai/models/z-image-base.md): declared precision provider-managed, us, $0.017 per image, 32K tokens of context
- [Z: Image Turbo](https://liquidinference.ai/models/z-image-turbo.md): declared precision provider-managed, us, $0.012 per image, 32K tokens of context

## Related pages

- [This page in a browser](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42)
- [All providers](https://liquidinference.ai/providers.md)
- [All models](https://liquidinference.ai/models)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)