# Mistral: Medium 2312 API

Mistral's Mistral: Medium 2312, 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-medium-2312 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-medium-2312
- Maker: Mistral
- Context window: 32K tokens
- Input price: $2.695 per million tokens
- Output price: $8.085 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $2.695 input and $8.085 output per million tokens, $2.695 cache read per million tokens, 32K tokens of context

## 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-medium-2312",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Mistral: Medium 2312?

Mistral: Medium 2312 is a model from Mistral.

### How much does Mistral: Medium 2312 cost?

Offers now ask $2.695 per million input tokens and $8.085 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: Medium 2312?

The largest offer takes 32,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Mistral: Medium 2312 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: Medium 2312 support?

Text → Text.

### Which providers serve Mistral: Medium 2312?

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: Medium 2312?

Send "mistral-medium-2312" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Mistral: Medium 2312 listed?

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

## Related pages

- [This page in a browser](https://liquidinference.ai/models/mistral-medium-2312)
- [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-medium-2312)
- [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)