Mistral Small 3.1 24B

SyncDev model directory · Profile updated Oct 13, 2026

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Mistral Small 3.1 24B from Mistral AI: Efficient multimodal model for instruction following, coding, reasoning, and function calling.

Key specifications

Context window
128K
Max output
16.38K
License
Open weights

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Image input

Produces

  • Text output

Capabilities

Function callingVisionJSON modeOpen weights

What is Mistral Small 3.1 24B?

What Mistral Small 3.1 24B is for

Efficient multimodal model for instruction following, coding, reasoning, and function calling. The registry places it in the mistral-small family with a release date of 2025-03-17. This profile describes its documented interface and how to evaluate it for the intended task.

Inputs and request limits

The recorded inputs are text and image, with text output. The registry lists a 128,000-token context window and up to 16,384 output tokens. It also declares function calling and structured output. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.

Deployment and cost

The registry marks Mistral Small 3.1 24B as an open-weight model. Check the linked checkpoint’s licence and runtime requirements before downloading or deploying it. Open weights describe availability, while licence terms determine permitted use. Local inference still requires hardware; a hosted route can charge separately.

No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.

What to test

Test photographs, screenshots and documents with the detail your application needs to read. Include small text, crowded layouts and questions whose answer is absent. Check whether the answer is supported by the image instead of accepting a plausible description.

Evidence and related models

A supporting source document was retrieved for this entry. Specifications above remain attributed to the models.dev record unless the publisher supplies a more specific limit. SyncDev has not independently benchmarked Mistral Small 3.1 24B.

Browse Mistral AI models, explore related tasks, or compare two models using the same workload.

How to evaluate Mistral Small 3.1 24B

Compare the model on the work you need to complete.

Tasks and inputs

Mistral Small 3.1 24B is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Documented limits: 128K context and 16.38K maximum output. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

The weights are downloadable under the publisher’s model licence. Check runtime support and size the complete model and working context for your expected concurrency.

Frequently asked questions

Mistral Small 3.1 24B from Mistral AI: Efficient multimodal model for instruction following, coding, reasoning, and function calling.

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