# akash

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

## Facts

- Handle: akash
- Website: https://akashml.com/
- On the exchange since: 2026-10-05
- Models: 7
- Offers: 7
- Regions: us-west
- Precisions (declared): bf16, fp4, fp8
- Lowest price on: 1 of 7 models

## Reliability, last 3 days

- Probes answered: 95.09%
- Hours with an answer: 100.0%
- Median response time: 2.5s

## Checked by the exchange

3 of 7 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

The provider states nothing about how it keeps data.

## Models

- [GLM 5.3](https://liquidinference.ai/models/glm-5.3.md): declared precision fp4, us-west, $0.190 input and $4.400 output per million tokens, $0.190 cache read per million tokens, 1M tokens of context
- [GPT: OSS 120B](https://liquidinference.ai/models/gpt-oss-120b.md): declared precision bf16, us-west, $0.037 input and $0.187 output per million tokens, $0.037 cache read per million tokens, 131.1K tokens of context
- [GPT: OSS 20B](https://liquidinference.ai/models/gpt-oss-20b.md): declared precision fp4, us-west, $0.020 input and $0.100 output per million tokens, $0.020 cache read per million tokens, 131.1K tokens of context
- [Kimi K3.1 Pro](https://liquidinference.ai/models/kimi-k3.1-pro.md): declared precision fp4, us-west, $1.750 input and $10.000 output per million tokens, $0.180 cache read per million tokens, 1M tokens of context
- [Llama 3.3 70B Instruct](https://liquidinference.ai/models/llama-3.3-70b-instruct.md): declared precision fp8, us-west, $0.200 input and $0.520 output per million tokens, $0.100 cache read per million tokens, 131.1K tokens of context
- [Qwen 3.6 35B a3b](https://liquidinference.ai/models/qwen3.6-35b-a3b.md): declared precision fp8, us-west, $0.100 input and $0.900 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context
- [Qwen 3.8 27B](https://liquidinference.ai/models/qwen3.8-27b.md): declared precision fp8, us-west, $0.225 input and $1.980 output per million tokens, $0.050 cache read per million tokens, 262.1K tokens of context

## Related pages

- [This page in a browser](https://liquidinference.ai/providers/2249261a-b9e8-449c-8c79-abf2dc02dd91)
- [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)