# Devstral 2 123B Instruct 2512 API

Mistral's Devstral 2 123B Instruct 2512, 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-2-123b-instruct-2512 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-2-123b-instruct-2512
- Maker: Mistral
- Context window: 262.1K tokens
- Input price: $0.400 per million tokens
- Output price: $1.399 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.400 input and $1.399 output per million tokens, $0.400 cache read per million tokens, 262.1K 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": "devstral-2-123b-instruct-2512",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Devstral 2 123B Instruct 2512?

Devstral 2 123B Instruct 2512 is a model from Mistral.

### How much does Devstral 2 123B Instruct 2512 cost?

Offers now ask $0.400 per million input tokens and $1.399 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 2 123B Instruct 2512?

The largest offer takes 262,144 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Devstral 2 123B Instruct 2512 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 2 123B Instruct 2512 support?

Text → Text.

### Which providers serve Devstral 2 123B Instruct 2512?

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 2 123B Instruct 2512?

Send "devstral-2-123b-instruct-2512" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Devstral 2 123B Instruct 2512 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-2-123b-instruct-2512)
- [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/devstral-2-123b-instruct-2512)
- [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)