Analysis Summary
Mistral Medium 3.1 is a multimodal Mistral model with image and file input, a 131K context window, and support for tool use and function calling. Its measured intelligence index is 9.2 and its coding index is 20.5, indicating that it should not be treated as a high-capability general reasoning or coding model. The supplied data does not include direct instruction-following or agentic reliability results.
The price of $0.40 per million input tokens and $2 per million output tokens, along with vision and tool support, makes it a candidate for routine mixed-input workloads and straightforward automation. It may fit high-volume tasks where the requirements are clear and outputs can be checked. For complex coding, long reasoning chains, or autonomous execution, the measurements suggest choosing a stronger alternative.
Test it on representative image and document tasks before deployment. Its value is in accessible multimodal handling, not in demonstrated top-tier reasoning.
Assessed September 23, 2026
Editorial notes
Mistral Medium 3.1 offers vision, tool calling, and a 131K context window at low listed prices; its measured intelligence and coding indices are limited.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Mistral Medium 3.1 offers vision, tool calling, and a 131K context window at low listed prices; its measured intelligence and coding indices are limited.
Benchmarks
Artificial Analysis data refreshed Oct 15, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control.
How Mistral: Mistral Medium 3.1 compares
Mistral: Mistral Medium 3.1 ranks #247 of 439 AI models we track for overall intelligence, #136 of 198 for coding, #134 of 181 for agentic tasks. Its 131K-token context window is larger than 50% of the models we list. At $0.40 per million input tokens it is cheaper than 38% 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.
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.
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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..
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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 #136 of 198 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.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 15, 2026 8:38 pm