# Mistral: Nemo Instruct 2407 API

Mistral's Mistral: Nemo Instruct 2407, 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-nemo-instruct-2407 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-nemo-instruct-2407
- Maker: Mistral
- Context window: 16.4K tokens
- Input price: $0.100 per million tokens
- Output price: $0.121 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.100 input and $0.121 output per million tokens, $0.100 cache read per million tokens, 16.4K 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-nemo-instruct-2407",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Mistral: Nemo Instruct 2407?

Mistral: Nemo Instruct 2407 is a model from Mistral.

### How much does Mistral: Nemo Instruct 2407 cost?

Offers now ask $0.100 per million input tokens and $0.121 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: Nemo Instruct 2407?

The largest offer takes 16,384 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Mistral: Nemo Instruct 2407 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: Nemo Instruct 2407 support?

Text → Text.

### Which providers serve Mistral: Nemo Instruct 2407?

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: Nemo Instruct 2407?

Send "mistral-nemo-instruct-2407" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Mistral: Nemo Instruct 2407 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-nemo-instruct-2407)
- [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)
- [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-nemo-instruct-2407)
- [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)