Mistral AI - GoModel

Mistral AI (La Plateforme) is served at https://api.mistral.ai/v1 with an OpenAI-compatible API. GoModel routes chat completions, model listing, embeddings, and passthrough requests through the shared OpenAI adapter; the /v1/responses endpoint is translated through chat completions (Mistral also offers a native one, but serving it through chat lets the reasoning normalization below apply to chat completions, streaming, and /v1/responses; /p/mistral/... passthrough requests are forwarded unchanged). Files and batches are not exposed for this provider.

Reasoning (thinking) output

When reasoning is enabled, models such as mistral-large-4-0 and mistral-small-2603, and hosted models such as zai-glm-5-3, return the assistant content as a list of typed chunks — a thinking chunk for the reasoning trace and text chunks for the answer — in both buffered responses and SSE streams. That shape is not standard OpenAI chat output, and clients like SillyTavern render it as gibberish. GoModel’s mistral provider converts it to the standard shape automatically:

the thinking chunks are joined into the reasoning_content field, and
the text chunks are joined into a plain string content

on both streaming (choices[].delta) and non-streaming (choices[].message) responses. No client-side configuration is needed. Chunk types with no standard chat equivalent — Mistral’s citation reference chunks, for example — are preserved in a mistral_content_chunks vendor member so no upstream data is dropped. SSE events larger than 16 MiB also pass through unconverted. Send effort with the standard nested parameter; GoModel maps it to Mistral’s flat reasoning_effort:

{
  "model": "mistral-large-4-0",
  "messages": [{ "role": "user", "content": "What is 17 * 23?" }],
  "reasoning": { "effort": "high" }
}

Mistral’s API-wide enum is none, minimal, low, medium, high, xhigh, max, and the value is normalized to lowercase and passed through. Which levels a model accepts is model-specific — for example Mistral Large 4 takes low/medium/high, hosted GLM models take low/high/max, and mistral-small-2603 also accepts none — so an unsupported level for the chosen model is rejected by Mistral itself, as with their own SDKs. On zai-glm-5-3 the response is always a chunk list, whatever the effort value. When a client replays an earlier assistant turn, GoModel sends the turn’s reasoning back as a Mistral thinking chunk inside the message content — Mistral’s guide warns that stripping the trace degrades output — and drops members Mistral cannot parse but the client echoed (mistral_content_chunks), which Mistral rejects with a 422. A replayed reasoning member (the spelling some clients use) is treated like reasoning_content. Mistral rejects request members its schema does not define, so GoModel adapts common OpenAI fields instead of letting the request fail:

max_completion_tokens becomes max_tokens, and seed becomes random_seed.
service_tier: "default" becomes standard_only; tiers Mistral does not offer are dropped.
stream_options, user, logit_bias, store, verbosity, and safety_identifier are dropped. Streams still report usage in their final chunk.
Messages keep only the members Mistral accepts for their role: for example, name stays on tool messages only, and refusal or annotations echoed on assistant turns are dropped.

Configure

MISTRAL_API_KEY=...

Or in config.yaml:

providers:
  mistral:
    type: mistral
    base_url: "https://api.mistral.ai/v1"
    api_key: "${MISTRAL_API_KEY}"

The provider type is mistral. The config key (mistral in the example above) is arbitrary and only identifies this entry inside your config; it may be changed.

You can also override the base URL and model list with:

MISTRAL_BASE_URL=https://api.mistral.ai/v1
MISTRAL_MODELS=mistral-large-4-0,mistral-small-2603,mistral-embed

Setting MISTRAL_MODELS limits the models this provider serves to that list under the default allowlist mode — requests for other models return 404. See Models modes for merge/fallback alternatives. The 404 applies to model-based routing only: when the operator enables passthrough for this provider (ENABLED_PASSTHROUGH_PROVIDERS, see Passthrough), /p/mistral/... requests reach the upstream regardless of this list.

Models

GoModel’s GET /v1/models is a gateway-wide list (every configured provider’s visible models, not only this one’s); what this provider serves follows its models mode, so it can be a subset of your Mistral account’s inventory. Call one of its models directly through the OpenAI-compatible /v1/chat/completions endpoint:

virtual_models:
  - source: mistral
    # The target prefix is the providers map key, not the provider type;
    # /p/mistral/... routes use the type.
    target: mistral/mistral-large-4-0

Embeddings

Mistral’s /v1/embeddings endpoint (for example mistral-embed) is supported.

​Reasoning (thinking) output

​Configure

​Models

​Embeddings

Reasoning (thinking) output

Configure

Models

Embeddings