# EmpirioLabs AI

Text, image, speech and video models: open models EmpirioLabs AI runs on GPU infrastructure it manages, plus proprietary partner models.

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

## Facts

- Handle: empiriolabs
- Website: https://empiriolabs.ai/
- Terms of service: https://empiriolabs.ai/policy/terms-of-service
- Privacy policy: https://empiriolabs.ai/policy/privacy-policy
- Status page: https://status.empiriolabs.ai/
- On the exchange since: 2026-10-16
- Models: 103
- Offers: 132
- Regions: global
- Precisions (declared): bf16, fp16, fp4, fp8, int2, int8, mixed, provider-managed
- Lowest price on: 44 of 59 models

## Reliability, last 3 days

- Probes answered: 99.10%
- Hours with an answer: 100.0%
- Median response time: 2.8s

## Checked by the exchange

3 of 132 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, in review
- No training, in review
- GDPR DPA, in review
- CSA STAR, in review

## Models

- [Aplomb 1](https://liquidinference.ai/models/aplomb-1.md): declared precision bf16, global, $0.020 input and Free output per million tokens, $0.020 cache read per million tokens, 1M tokens of context
- [Aplomb 1 Decision](https://liquidinference.ai/models/aplomb-1-decision.md): declared precision bf16, global, $0.020 input and — output per million tokens, 1M tokens of context
- [DeepSeek V4 Flash 0731](https://liquidinference.ai/models/deepseek-v4-flash-0731.md): declared precision provider-managed, global, $0.424 input and $1.272 output per million tokens, $0.424 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Pro](https://liquidinference.ai/models/deepseek-v4-pro.md): declared precision provider-managed, global, $1.650 input and $3.300 output per million tokens, $1.650 cache read per million tokens, 1M tokens of context
- [DeepSeek V4 Pro 0813](https://liquidinference.ai/models/deepseek-v4-pro-0813.md): declared precision provider-managed, global, $1.320 input and $3.960 output per million tokens, $1.320 cache read per million tokens, 1M tokens of context
- [DeepSeek V4.1 Flash 1017](https://liquidinference.ai/models/deepseek-v4.1-flash-1017.md): declared precision provider-managed, global, $0.200 input and $0.800 output per million tokens, $0.020 cache read per million tokens, 1M tokens of context
- [Flux 2 Klein 4B](https://liquidinference.ai/models/flux-2-klein-4b.md): declared precision bf16, global, $0.0085 per image, 512 tokens of context
- [Gemma 4 26B a4b It](https://liquidinference.ai/models/gemma-4-26b-a4b-it.md): declared precision fp8, global, $0.050 input and $0.290 output per million tokens, $0.025 cache read per million tokens, 262.1K tokens of context
- [GLM 4 6v Flashx](https://liquidinference.ai/models/glm-4-6v-flashx.md): declared precision provider-managed, global, $0.040 input and $0.400 output per million tokens, $0.036 cache read per million tokens, 131.1K tokens of context
- [GLM 4.7 Flashx](https://liquidinference.ai/models/glm-4.7-flashx.md): declared precision provider-managed, global, $0.070 input and $0.400 output per million tokens, $0.063 cache read per million tokens, 202.8K tokens of context
- [GLM 5.1](https://liquidinference.ai/models/glm-5.1.md): declared precision provider-managed, global, $0.825 input and $3.301 output per million tokens, $0.165 cache read per million tokens, 8,000 tokens of context
- [GLM 5.2](https://liquidinference.ai/models/glm-5.2.md): declared precision provider-managed, global, $1.400 input and $4.400 output per million tokens, $1.400 cache read per million tokens, 1M tokens of context
- [GLM 5.3](https://liquidinference.ai/models/glm-5.3.md): declared precision provider-managed, global, $1.400 input and $4.400 output per million tokens, $1.400 cache read per million tokens, 1M tokens of context
- [GLM 5.3 Flash](https://liquidinference.ai/models/glm-5.3-flash.md): declared precision provider-managed, global, $0.075 input and $0.250 output per million tokens, $0.075 cache read per million tokens, 1M tokens of context
- [GLM Tts](https://liquidinference.ai/models/glm-tts.md): declared precision int8, global, $0.00020 per character, 8,192 tokens of context, the cheapest of 2 offers
- [GPT: Image 2](https://liquidinference.ai/models/gpt-image-2.md): declared precision provider-managed, global, $0.012 per image, 1,024 tokens of context
- [Grok: Imagine Image 2 0](https://liquidinference.ai/models/grok-imagine-image-2-0.md): declared precision provider-managed, global, $0.048 per image, 1,024 tokens of context
- [Grok: Imagine Video 1 5](https://liquidinference.ai/models/grok-imagine-video-1-5.md): declared precision provider-managed, global, $0.096 per second, 1,024 tokens of context, the cheapest of 3 offers
- [Happyhorse 1 0](https://liquidinference.ai/models/happyhorse-1-0.md): declared precision provider-managed, global, $0.140 per second, 1,024 tokens of context, the cheapest of 2 offers
- [Happyhorse 1 1](https://liquidinference.ai/models/happyhorse-1-1.md): declared precision provider-managed, global, $0.140 per second, 1,024 tokens of context, the cheapest of 2 offers
- [Hunyuan: Image 3](https://liquidinference.ai/models/hunyuan-image-3.md): declared precision provider-managed, global, $0.130 per image, 1,024 tokens of context
- [Hunyuan: Video 1 5](https://liquidinference.ai/models/hunyuan-video-1-5.md): declared precision mixed, global, $0.061 per second, 1,024 tokens of context, the cheapest of 3 offers
- [Kimi K2.6](https://liquidinference.ai/models/kimi-k2.6.md): declared precision provider-managed, global, $0.894 input and $3.713 output per million tokens, $0.179 cache read per million tokens, 262.1K tokens of context
- [Kimi K2.7 Code](https://liquidinference.ai/models/kimi-k2.7-code.md): declared precision provider-managed, global, $0.950 input and $4.000 output per million tokens, $0.950 cache read per million tokens, 262.1K tokens of context
- [Kimi K2.7 Code Highspeed](https://liquidinference.ai/models/kimi-k2.7-code-highspeed.md): declared precision provider-managed, global, $1.900 input and $8.000 output per million tokens, $1.900 cache read per million tokens, 262.1K tokens of context
- [Kimi K3](https://liquidinference.ai/models/kimi-k3.md): declared precision provider-managed, global, $3.000 input and $15.000 output per million tokens, $3.000 cache read per million tokens, 1M tokens of context
- [Kimi K3.1 Pro](https://liquidinference.ai/models/kimi-k3.1-pro.md): declared precision provider-managed, global, $2.000 input and $10.000 output per million tokens, $0.184 cache read per million tokens, 1M tokens of context
- [Kling 3 0 Turbo](https://liquidinference.ai/models/kling-3-0-turbo.md): declared precision provider-managed, global, $0.180 per second, 1,024 tokens of context
- [Mimo V2.6 Flash](https://liquidinference.ai/models/mimo-v2.6-flash.md): declared precision provider-managed, global, $0.140 input and $0.280 output per million tokens, $0.140 cache read per million tokens, 1M tokens of context
- [Mimo V2.6 Pro](https://liquidinference.ai/models/mimo-v2.6-pro.md): declared precision provider-managed, global, $0.435 input and $0.870 output per million tokens, $0.435 cache read per million tokens, 1M tokens of context
- [Mimo V2.6 Pro Ultraspeed](https://liquidinference.ai/models/mimo-v2.6-pro-ultraspeed.md): declared precision provider-managed, global, $4.350 input and $8.700 output per million tokens, $4.350 cache read per million tokens, 1M tokens of context
- [Mistral: Small 4 119B 2603](https://liquidinference.ai/models/mistral-small-4-119b-2603.md): declared precision provider-managed, global, $0.150 input and $0.600 output per million tokens, $0.150 cache read per million tokens, 262.1K tokens of context
- [Moss: Image Turbo](https://liquidinference.ai/models/moss-image-turbo.md): declared precision int8, global, $0.015 per image, 1,024 tokens of context
- [Moss: Video And Audio](https://liquidinference.ai/models/moss-video-and-audio.md): declared precision bf16, global, $0.120 per second, $0.065 fee for each request, 1,024 tokens of context
- [Muse: Glimmer 30B](https://liquidinference.ai/models/muse-glimmer-30b.md): declared precision fp4, global, $0.200 input and $0.800 output per million tokens, $0.050 cache read per million tokens, 131.1K tokens of context
- [Muse: Spark 1.1](https://liquidinference.ai/models/muse-spark-1.1.md): declared precision provider-managed, global, $1.250 input and $4.250 output per million tokens, $1.000 cache read per million tokens, 1M tokens of context
- [Muse: Spark 1.2](https://liquidinference.ai/models/muse-spark-1.2.md): declared precision provider-managed, global, $1.250 input and $4.250 output per million tokens, $1.000 cache read per million tokens, 1M tokens of context
- [Muse: Spark 1.3](https://liquidinference.ai/models/muse-spark-1.3.md): declared precision provider-managed, global, $1.250 input and $4.250 output per million tokens, $1.000 cache read per million tokens, 1M tokens of context
- [Nova 2 Lite V1](https://liquidinference.ai/models/nova-2-lite-v1.md): declared precision provider-managed, global, $0.380 input and $3.160 output per million tokens, $0.213 cache read per million tokens, 1M tokens of context
- [Nova: Lite 1 0](https://liquidinference.ai/models/nova-lite-1-0.md): declared precision provider-managed, global, $0.069 input and $0.280 output per million tokens, $0.039 cache read per million tokens, 317.4K tokens of context
- [Nova: Micro 1 0](https://liquidinference.ai/models/nova-micro-1-0.md): declared precision provider-managed, global, $0.040 input and $0.160 output per million tokens, $0.022 cache read per million tokens, 133K tokens of context
- [Nova: Pro 1 0](https://liquidinference.ai/models/nova-pro-1-0.md): declared precision provider-managed, global, $2.400 input and $9.600 output per million tokens, $2.400 cache read per million tokens, 317.3K tokens of context
- [Perplexity Sonar](https://liquidinference.ai/models/perplexity-sonar.md): declared precision provider-managed, global, $2.400 input and $2.400 output per million tokens, $2.400 cache read per million tokens, $0.019 fee for each request, 919.3K tokens of context
- [Perplexity: Sonar Pro](https://liquidinference.ai/models/perplexity-sonar-pro.md): declared precision provider-managed, global, $7.200 input and $36.000 output per million tokens, $7.200 cache read per million tokens, $0.024 fee for each request, 919.3K tokens of context
- [Perplexity: Sonar Reasoning Pro](https://liquidinference.ai/models/perplexity-sonar-reasoning-pro.md): declared precision provider-managed, global, $4.800 input and $19.000 output per million tokens, $4.800 cache read per million tokens, $0.024 fee for each request, 919.3K tokens of context
- [Pixverse C1](https://liquidinference.ai/models/pixverse-c1.md): declared precision provider-managed, global, $0.031 per second, 1,024 tokens of context, the cheapest of 4 offers
- [Pixverse V6](https://liquidinference.ai/models/pixverse-v6.md): declared precision provider-managed, global, $0.026 per second, 1,024 tokens of context, the cheapest of 4 offers
- [Pixverse V6 Max](https://liquidinference.ai/models/pixverse-v6-max.md): declared precision provider-managed, global, $0.031 per second, 1,024 tokens of context, the cheapest of 4 offers
- [Qwen 3 5 4B](https://liquidinference.ai/models/qwen3-5-4b.md): declared precision fp8, global, $0.040 input and $0.070 output per million tokens, $0.020 cache read per million tokens, 262.1K tokens of context
- [Qwen 3 5 Omni Flash](https://liquidinference.ai/models/qwen3-5-omni-flash.md): declared precision provider-managed, global, $0.800 input and $4.400 output per million tokens, $0.800 cache read per million tokens, 196.6K tokens of context
- [Qwen 3 5 Omni Plus](https://liquidinference.ai/models/qwen3-5-omni-plus.md): declared precision provider-managed, global, $2.800 input and $16.600 output per million tokens, $2.800 cache read per million tokens, 196.6K tokens of context
- [Qwen 3.5 122B a10b](https://liquidinference.ai/models/qwen3.5-122b-a10b.md): declared precision provider-managed, global, $0.115 input and $0.917 output per million tokens, $0.115 cache read per million tokens, 32K tokens of context
- [Qwen 3.5 27B](https://liquidinference.ai/models/qwen3.5-27b.md): declared precision provider-managed, global, $0.086 input and $0.688 output per million tokens, $0.086 cache read per million tokens, 32K tokens of context
- [Qwen 3.5 35B a3b](https://liquidinference.ai/models/qwen3.5-35b-a3b.md): declared precision provider-managed, global, $0.057 input and $0.459 output per million tokens, $0.057 cache read per million tokens, 32K tokens of context
- [Qwen 3.5 397B a17b](https://liquidinference.ai/models/qwen3.5-397b-a17b.md): declared precision provider-managed, global, $0.172 input and $1.032 output per million tokens, $0.172 cache read per million tokens, 32K tokens of context
- [Qwen 3.5 9B](https://liquidinference.ai/models/qwen3.5-9b.md): declared precision fp8, global, $0.090 input and $0.130 output per million tokens, $0.045 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.5 Flash](https://liquidinference.ai/models/qwen3.5-flash.md): declared precision provider-managed, global, $0.090 input and $0.368 output per million tokens, $0.090 cache read per million tokens, 995.9K tokens of context
- [Qwen 3.5 Plus](https://liquidinference.ai/models/qwen3.5-plus.md): declared precision provider-managed, global, $0.360 input and $2.210 output per million tokens, $0.360 cache read per million tokens, 64K tokens of context
- [Qwen 3.6 27B](https://liquidinference.ai/models/qwen3.6-27b.md): declared precision provider-managed, global, $0.413 input and $2.475 output per million tokens, $0.413 cache read per million tokens, 229.4K tokens of context
- [Qwen 3.6 35B a3b](https://liquidinference.ai/models/qwen3.6-35b-a3b.md): declared precision int2, global, $0.070 input and $0.420 output per million tokens, $0.035 cache read per million tokens, 131.1K tokens of context
- [Qwen 3.6 Flash](https://liquidinference.ai/models/qwen3.6-flash.md): declared precision provider-managed, global, $0.250 input and $1.500 output per million tokens, $0.250 cache read per million tokens, 64K tokens of context
- [Qwen 3.6 Plus](https://liquidinference.ai/models/qwen3.6-plus.md): declared precision provider-managed, global, $0.500 input and $3.000 output per million tokens, $0.500 cache read per million tokens, 64K tokens of context
- [Qwen 3.7 Flash](https://liquidinference.ai/models/qwen3.7-flash.md): declared precision provider-managed, global, $0.030 input and $0.130 output per million tokens, $0.0060 cache read per million tokens, 8,000 tokens of context
- [Qwen 3.7 Max](https://liquidinference.ai/models/qwen3.7-max.md): declared precision provider-managed, global, $2.500 input and $7.500 output per million tokens, $2.500 cache read per million tokens, 983.6K tokens of context
- [Qwen 3.7 Plus](https://liquidinference.ai/models/qwen3.7-plus.md): declared precision provider-managed, global, $0.400 input and $1.600 output per million tokens, $0.400 cache read per million tokens, 64K tokens of context
- [Qwen 3.8 27B](https://liquidinference.ai/models/qwen3.8-27b.md): declared precision fp4, global, $0.170 input and $0.500 output per million tokens, $0.080 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 Flash](https://liquidinference.ai/models/qwen3.8-flash.md): declared precision provider-managed, global, $0.160 input and $0.470 output per million tokens, $0.160 cache read per million tokens, 983.6K tokens of context
- [Qwen 3.8 Max](https://liquidinference.ai/models/qwen3.8-max.md): declared precision provider-managed, global, $2.000 input and $6.000 output per million tokens, $2.000 cache read per million tokens, 983.6K tokens of context
- [Qwen 3.8 Max 0902](https://liquidinference.ai/models/qwen3.8-max-0902.md): declared precision provider-managed, global, $2.000 input and $6.000 output per million tokens, $2.000 cache read per million tokens, 983.6K tokens of context
- [Qwen 3.8 Omni Flash](https://liquidinference.ai/models/qwen3.8-omni-flash.md): declared precision provider-managed, global, $0.300 input and $0.940 output per million tokens, $0.300 cache read per million tokens, 1M tokens of context
- [Qwen: Audio 3 0 Asr](https://liquidinference.ai/models/qwen-audio-3-0-asr.md): declared precision provider-managed, global, $0.000070 per second, 8,192 tokens of context
- [Qwen: Audio 3 0 Tts](https://liquidinference.ai/models/qwen-audio-3-0-tts.md): declared precision provider-managed, global, $0.000015 per character, 8,192 tokens of context, the cheapest of 2 offers
- [Qwen: Audio 3 1 Tts Plus](https://liquidinference.ai/models/qwen-audio-3-1-tts-plus.md): declared precision provider-managed, global, $0.000060 per character, 8,192 tokens of context
- [Qwen: Image 2 1](https://liquidinference.ai/models/qwen-image-2-1.md): declared precision provider-managed, global, $0.040 per image, 1,024 tokens of context
- [Qwen: Image 2.0](https://liquidinference.ai/models/qwen-image-2.0.md): declared precision provider-managed, global, $0.075 per image, 1,024 tokens of context
- [Qwen: Image 3 0](https://liquidinference.ai/models/qwen-image-3-0.md): declared precision provider-managed, global, $0.075 per image, 1,024 tokens of context
- [Seed 2.0 Code](https://liquidinference.ai/models/seed-2.0-code.md): declared precision provider-managed, global, $0.400 input and $2.400 output per million tokens, $0.400 cache read per million tokens, 32K tokens of context
- [Seed 2.0 Lite](https://liquidinference.ai/models/seed-2.0-lite.md): declared precision provider-managed, global, $0.310 input and $2.500 output per million tokens, $0.310 cache read per million tokens, 32K tokens of context
- [Seed 2.0 Mini](https://liquidinference.ai/models/seed-2.0-mini.md): declared precision provider-managed, global, $0.120 input and $0.500 output per million tokens, $0.120 cache read per million tokens, 32K tokens of context
- [Seed 2.0 Pro](https://liquidinference.ai/models/seed-2.0-pro.md): declared precision provider-managed, global, $0.630 input and $3.790 output per million tokens, $0.630 cache read per million tokens, 32K tokens of context
- [Seed 2.1 Turbo](https://liquidinference.ai/models/seed-2.1-turbo.md): declared precision provider-managed, global, $0.630 input and $3.130 output per million tokens, $0.630 cache read per million tokens, 229.1K tokens of context
- [Seedance 1 5 Pro](https://liquidinference.ai/models/seedance-1-5-pro.md): declared precision provider-managed, global, $0.048 per second, 1,024 tokens of context, the cheapest of 3 offers
- [Seedance 2 0 Fast](https://liquidinference.ai/models/seedance-2-0-fast.md): declared precision provider-managed, global, $0.122 per second, 1,024 tokens of context, the cheapest of 2 offers
- [Seedance 2 0 Mini](https://liquidinference.ai/models/seedance-2-0-mini.md): declared precision provider-managed, global, $0.070 per second, 1,024 tokens of context, the cheapest of 2 offers
- [Seedance 2 0 Pro](https://liquidinference.ai/models/seedance-2-0-pro.md): declared precision provider-managed, global, $0.139 per second, 1,024 tokens of context, the cheapest of 3 offers
- [Seedance 2 5](https://liquidinference.ai/models/seedance-2-5.md): declared precision provider-managed, global, $0.206 per second, 1,024 tokens of context, the cheapest of 3 offers
- [Seedream 4 0](https://liquidinference.ai/models/seedream-4-0.md): declared precision provider-managed, global, $0.060 per image, 1,024 tokens of context
- [Seedream 4.5](https://liquidinference.ai/models/seedream-4.5.md): declared precision provider-managed, global, $0.080 per image, 1,024 tokens of context
- [Seedream 5 0 Flash](https://liquidinference.ai/models/seedream-5-0-flash.md): declared precision provider-managed, global, $0.030 per image, 1,024 tokens of context
- [Seedream 5.0 Lite Preview](https://liquidinference.ai/models/seedream-5.0-lite-preview.md): declared precision provider-managed, global, $0.035 per image, 1,024 tokens of context
- [Skylark: Embedding Vision](https://liquidinference.ai/models/skylark-embedding-vision.md): declared precision provider-managed, global, $0.250 input per million tokens, 8,000 tokens of context
- [Soulx Podcast](https://liquidinference.ai/models/soulx-podcast.md): declared precision bf16, global, $0.000015 per character, 8,192 tokens of context, the cheapest of 2 offers
- [Svi 2 0 Pro](https://liquidinference.ai/models/svi-2-0-pro.md): declared precision mixed, global, $0.057 per second, $0.065 fee for each request, 1,024 tokens of context
- [Text: Embedding V4](https://liquidinference.ai/models/text-embedding-v4.md): declared precision provider-managed, global, $0.070 input per million tokens, 8,192 tokens of context
- [Tongyi: Embedding Vision Flash](https://liquidinference.ai/models/tongyi-embedding-vision-flash.md): declared precision provider-managed, global, $0.090 input per million tokens, 1,024 tokens of context
- [Tongyi: Embedding Vision Plus](https://liquidinference.ai/models/tongyi-embedding-vision-plus.md): declared precision provider-managed, global, $0.090 input per million tokens, 1,024 tokens of context
- [Wan 2 1 Image](https://liquidinference.ai/models/wan2-1-image.md): declared precision provider-managed, global, $0.025 per image, 1,024 tokens of context
- [Wan 2 2 Image](https://liquidinference.ai/models/wan2-2-image.md): declared precision provider-managed, global, $0.050 per image, 1,024 tokens of context
- [Wan 2 5](https://liquidinference.ai/models/wan-2-5.md): declared precision provider-managed, global, $0.050 per second, 1,024 tokens of context, the cheapest of 3 offers
- [Wan 2 5 Image](https://liquidinference.ai/models/wan2-5-image.md): declared precision provider-managed, global, $0.030 per image, 1,024 tokens of context
- [Wan 2 6](https://liquidinference.ai/models/wan-2-6.md): declared precision provider-managed, global, $0.050 per second, 1,024 tokens of context, the cheapest of 2 offers
- [Wan 2.7 Image](https://liquidinference.ai/models/wan2.7-image.md): declared precision provider-managed, global, $0.075 per image, 1,024 tokens of context
- [Whisper: Large V3 Turbo](https://liquidinference.ai/models/whisper-large-v3-turbo.md): declared precision fp16, global, $0.000083 per second, 8,192 tokens of context

## Related pages

- [This page in a browser](https://liquidinference.ai/providers/4f49f07c-0d26-44bd-88a8-34f3f5fbd3b7)
- [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)