Mistral: Mistral Medium 3.1
Analysis Summary
Mistral Medium 3.1 is a multimodal model supporting text, images, and files within a 131K context window. It includes tool use and function calling, giving it a practical integration surface, while the supplied reasoning and coding measurements place it below models suited to demanding analytical or software tasks.
Its best applications are structured content, SEO production, document summarisation, visual reference handling, and routine workflow steps with human review. The combination of vision and file input is useful for agencies processing mixed client materials, although complex coding and autonomous agent work should be assigned elsewhere. The context size supports substantial briefs without reaching the capacity of the largest models.
Moderate pricing makes it suitable for controlled production volume. Adopt it as a multimodal generalist for lighter workflows rather than a flagship reasoning model.
Assessed September 7, 2026
Editorial notes
Mistral Medium 3.1 combines vision, file handling, tools, function calling, and a 131K context window at moderate pricing, but its measured reasoning capability is limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Medium 3.1 combines vision, file handling, tools, function calling, and a 131K context window at moderate pricing, but its measured reasoning capability is limited.
How Mistral: Mistral Medium 3.1 compares
Mistral: Mistral Medium 3.1 ranks #246 of 438 AI models we track for overall intelligence, #150 of 210 for coding, #143 of 192 for agentic tasks. Its 131K-token context window is larger than 47% of the models we list. At $0.40 per million input tokens it is cheaper than 42% 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 intelligence 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 | $0.40 | $0.000400 |
| Output | $2.00 | $0.002000 |
What would Mistral: Mistral Medium 3.1 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 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Medium 3.1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Medium 3.1
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances..
Frequently asked questions about Mistral: Mistral Medium 3.1
How much does Mistral: Mistral Medium 3.1 cost?
Mistral: Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens.
What is the context window of Mistral: Mistral Medium 3.1?
Mistral: Mistral Medium 3.1 has a context window of 131,072 tokens (131K).
Is Mistral: Mistral Medium 3.1 good for coding?
On our coding benchmark index, Mistral: Mistral Medium 3.1 ranks #150 of 210 models, placing it in the broader range of the field for code generation and debugging.
What can Mistral: Mistral Medium 3.1 do?
Mistral: Mistral Medium 3.1 supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Medium 3.1?
Mistral: Mistral Medium 3.1 is developed by Mistral and was released on August 13, 2025.