# Mistral: Small 3.2 24B Instruct API

Mistral's Mistral: Small 3.2 24B Instruct, through an OpenAI-compatible API. 2 providers quote it now, 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-small-3.2-24b-instruct 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-small-3.2-24b-instruct
- Maker: Mistral
- Context window: 128K tokens
- Input price: $0.100 to $0.100 per million tokens
- Output price: $0.0040 to $0.320 per million tokens
- Providers: 2 independent providers
- Regions: eu, us

## Providers

- [Pera](https://liquidinference.ai/providers/f651491e-f85b-4f03-b80c-32876aeb80ce.md): us, $0.100 input and $0.0040 output per million tokens, $0.100 cache read per million tokens, $0.000049 fee for each request, 128K tokens of context
- [SOKKAN](https://liquidinference.ai/providers/65502412-bcc7-4baa-9a9a-e20ea20a38d4.md): eu, $0.100 input and $0.320 output per million tokens, $0.100 cache read per million tokens, 128K tokens of context

## Scores

- HLE: 4.3, #219 of 273
- GPQA: 50.5, #210 of 250
- AA-LCR: 20.3, #212 of 237
- SciCode: 28.6, #117 of 123
- Terminal-Bench Hard: 6.8, #131 of 166
- LiveCodeBench: 27.5, #97 of 130
- AIME 2025: 27.0, #76 of 100
- MMLU-Pro: 68.1, #97 of 133
- τ²-Bench: 29.5, #138 of 169
- IFBench: 33.5, #148 of 178
- SimpleQA Verified: 19.1, #114 of 126

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

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

## 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-small-3.2-24b-instruct",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Mistral: Small 3.2 24B Instruct?

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

### How much does Mistral: Small 3.2 24B Instruct cost?

Offers now ask $0.100 to $0.100 per million input tokens and $0.0040 to $0.320 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: Small 3.2 24B Instruct?

The largest offer takes 128,000 input tokens. One job can generate up to 32,768 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Mistral: Small 3.2 24B Instruct do?

Its providers list Vision, JSON object, JSON schema, Frequency penalty, Presence penalty, Seed, Stop sequences, Top-p sampling, Text, Tools.

### What inputs and outputs does Mistral: Small 3.2 24B Instruct support?

Text · Images → Text.

### Which providers serve Mistral: Small 3.2 24B Instruct?

2 independent providers quote it now, with 2 offers. The table above ranks them by the cost of a typical job.

### How do I call Mistral: Small 3.2 24B Instruct?

Send "mistral-small-3.2-24b-instruct" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Mistral: Small 3.2 24B Instruct 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-small-3.2-24b-instruct)
- [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)
- [Ministral 8B 2512](https://liquidinference.ai/models/ministral-8b-2512.md)
- [Set up a client](https://liquidinference.ai/connect/mistral-small-3.2-24b-instruct)
- [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)