moltbot/docs/providers/mistral.md

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Use Mistral models and Voxtral transcription with OpenClaw	You want to use Mistral models in OpenClaw You need Mistral API key onboarding and model refs	Mistral

Mistral

OpenClaw supports Mistral for both text/image model routing (mistral/...) and audio transcription via Voxtral in media understanding. Mistral can also be used for memory embeddings (memorySearch.provider = "mistral").

• Provider: mistral
• Auth: MISTRAL_API_KEY
• API: Mistral Chat Completions (https://api.mistral.ai/v1)

Getting started

Create an API key in the [Mistral Console](https://console.mistral.ai/). ```bash openclaw onboard --auth-choice mistral-api-key ```

Or pass the key directly:

```bash
openclaw onboard --mistral-api-key "$MISTRAL_API_KEY"
```

```json5 { env: { MISTRAL_API_KEY: "sk-..." }, agents: { defaults: { model: { primary: "mistral/mistral-large-latest" } } }, } ``` ```bash openclaw models list --provider mistral ```

Built-in LLM catalog

OpenClaw currently ships this bundled Mistral catalog:

Model ref	Input	Context	Max output	Notes
mistral/mistral-large-latest	text, image	262,144	16,384	Default model
mistral/mistral-medium-2508	text, image	262,144	8,192	Mistral Medium 3.1
mistral/mistral-small-latest	text, image	128,000	16,384	Mistral Small 4; adjustable reasoning via API reasoning_effort
mistral/pixtral-large-latest	text, image	128,000	32,768	Pixtral
mistral/codestral-latest	text	256,000	4,096	Coding
mistral/devstral-medium-latest	text	262,144	32,768	Devstral 2
mistral/magistral-small	text	128,000	40,000	Reasoning-enabled

Audio transcription (Voxtral)

Use Voxtral for audio transcription through the media understanding pipeline.

{
  tools: {
    media: {
      audio: {
        enabled: true,
        models: [{ provider: "mistral", model: "voxtral-mini-latest" }],
      },
    },
  },
}

The media transcription path uses `/v1/audio/transcriptions`. The default audio model for Mistral is `voxtral-mini-latest`.

Advanced configuration

`mistral/mistral-small-latest` maps to Mistral Small 4 and supports [adjustable reasoning](https://docs.mistral.ai/capabilities/reasoning/adjustable) on the Chat Completions API via `reasoning_effort` (`none` minimizes extra thinking in the output; `high` surfaces full thinking traces before the final answer).

OpenClaw maps the session **thinking** level to Mistral's API:

| OpenClaw thinking level                          | Mistral `reasoning_effort` |
| ------------------------------------------------ | -------------------------- |
| **off** / **minimal**                            | `none`                     |
| **low** / **medium** / **high** / **xhigh** / **adaptive** | `high`             |

<Note>
Other bundled Mistral catalog models do not use this parameter. Keep using `magistral-*` models when you want Mistral's native reasoning-first behavior.
</Note>

Mistral can serve memory embeddings via `/v1/embeddings` (default model: `mistral-embed`).

```json5
{
  memorySearch: { provider: "mistral" },
}
```

- Mistral auth uses `MISTRAL_API_KEY`. - Provider base URL defaults to `https://api.mistral.ai/v1`. - Onboarding default model is `mistral/mistral-large-latest`. - Z.AI uses Bearer auth with your API key.

Related

Choosing providers, model refs, and failover behavior. Audio transcription setup and provider selection.