# Mistral Large API

Mistral's Mistral Large, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send mistral-large as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: mistral-large
- Maker: Mistral
- Context window: 128K tokens
- Input price: $2.003 per million tokens
- Output price: $5.991 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $2.003 input and $5.991 output per million tokens, $0.200 cache read per million tokens, 128K tokens of context

## Scores

- HLE: 3.5, #258 of 273
- GPQA: 35.1, #238 of 250
- LiveCodeBench: 17.8, #111 of 130
- MMLU-Pro: 51.5, #124 of 133

Scores: Artificial Analysis (https://artificialanalysis.ai/)

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral-large",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Mistral Large?

Served by intent-router: each job goes to the cheapest healthy upstream for this model.

### How much does Mistral Large cost?

Offers now ask $2.003 per million input tokens and $5.991 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of Mistral Large?

The largest offer takes 128,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Mistral Large do?

Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.

### What inputs and outputs does Mistral Large support?

Text → Text.

### Which providers serve Mistral Large?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Mistral Large?

Send "mistral-large" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Mistral Large listed?

The exchange first listed it on 10/8/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/mistral-large)
- [Mistral: Small 3.2 24B Instruct](https://liquidinference.ai/models/mistral-small-3.2-24b-instruct.md)
- [Devstral: Small 2505](https://liquidinference.ai/models/devstral-small-2505.md)
- [Ministral 3B 2512](https://liquidinference.ai/models/ministral-3b-2512.md)
- [Mistral: Nemo Instruct 2407](https://liquidinference.ai/models/mistral-nemo-instruct-2407.md)
- [Cydonia 24B V2](https://liquidinference.ai/models/cydonia-24b-v2.md)
- [Magidonia 24B V4.3](https://liquidinference.ai/models/magidonia-24b-v4.3.md)
- [Set up a client](https://liquidinference.ai/connect/mistral-large)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [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)