# Devstral: Small 2505 API

Mistral's Devstral: Small 2505, 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 devstral-small-2505 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: devstral-small-2505
- Maker: Mistral
- Context window: 32.8K tokens
- Input price: $0.060 per million tokens
- Output price: $0.060 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.060 input and $0.060 output per million tokens, $0.060 cache read per million tokens, 32.8K tokens of context

## Scores

- HLE: 4.0, #240 of 273
- GPQA: 43.4, #222 of 250
- AA-LCR: 32.0, #195 of 237
- Terminal-Bench Hard: 6.1, #140 of 166
- LiveCodeBench: 25.8, #104 of 130
- MMLU-Pro: 63.2, #115 of 133
- τ²-Bench: 38.0, #117 of 169
- IFBench: 31.6, #158 of 178

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": "devstral-small-2505",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Devstral: Small 2505?

Devstral: Small 2505 is a model from Mistral.

### How much does Devstral: Small 2505 cost?

Offers now ask $0.060 per million input tokens and $0.060 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 Devstral: Small 2505?

The largest offer takes 32,768 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Devstral: Small 2505 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 Devstral: Small 2505 support?

Text → Text.

### Which providers serve Devstral: Small 2505?

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 Devstral: Small 2505?

Send "devstral-small-2505" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Devstral: Small 2505 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/devstral-small-2505)
- [Mistral: Small 3.2 24B Instruct](https://liquidinference.ai/models/mistral-small-3.2-24b-instruct.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/devstral-small-2505)
- [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)