Mistral: Mistral Small 3.1 24B
Analysis Summary
Mistral Small 3.1 24B is a 24B multimodal model with image input and a 128K context window. The available measurements show useful coding capability for a smaller model, making it relevant to code assistance, document processing, and structured content generation. Its paid pricing is materially less attractive than the free listing of the same model family.
It suits code explanation, test generation, extraction from long documents, image description, and routine marketing operations. Reasoning and agentic performance are moderate rather than advanced, and the supplied data does not establish a premium tool-use advantage for this paid entry. Complex engineering, autonomous execution, and high-stakes editorial work should be escalated.
Choose the paid deployment when API continuity or operational controls matter, but compare its economics carefully with the free variant and stronger low-cost alternatives. It is best used as a practical secondary model.
Assessed August 9, 2026
Editorial notes
Mistral Small 3.1 24B provides vision and a 128K context window with useful coding capability. Its listed paid pricing is less compelling than the free variant, while reasoning and agentic depth remain moderate.
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DFO Verdict
Mistral Small 3.1 24B provides vision and a 128K context window with useful coding capability. Its listed paid pricing is less compelling than the free variant, while reasoning and agentic depth remain moderate.
How Mistral: Mistral Small 3.1 24B compares
Its 128K-token context window is larger than 36% of the models we list. At $0.35 per million input tokens it is cheaper than 43% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.35 | $0.000351 |
| Output | $0.56 | $0.000555 |
What would Mistral: Mistral Small 3.1 24B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Small 3.1 24B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Small 3.1 24B
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and..
Frequently asked questions about Mistral: Mistral Small 3.1 24B
How much does Mistral: Mistral Small 3.1 24B cost?
Mistral: Mistral Small 3.1 24B costs $0.35 per million input tokens and $0.56 per million output tokens.
What is the context window of Mistral: Mistral Small 3.1 24B?
Mistral: Mistral Small 3.1 24B has a context window of 128,000 tokens (128K).
What can Mistral: Mistral Small 3.1 24B do?
Mistral: Mistral Small 3.1 24B supports image/vision input.
Who created Mistral: Mistral Small 3.1 24B?
Mistral: Mistral Small 3.1 24B is developed by Mistral and was released on March 17, 2025.