Analysis Summary
Mistral Medium 3 is a multimodal model with vision and file input, tool use, function calling, and a 131K context window. Its measured results show some coding and general task capability, but the reasoning index and long-context performance are limited. The rates are low relative to premium models, making cost a clear practical advantage.
It can fit straightforward document processing, visual input, and tool-assisted tasks where a lower price is important and the workflow can tolerate human checks. The benchmark profile does not support relying on it for difficult reasoning, long-document synthesis, or high-stakes autonomous execution. Teams should also test its output quality on their own content formats before scaling.
Use Medium 3 as a cost-conscious option for bounded workloads rather than a flagship. Escalate complex tasks to a stronger model when accuracy and depth are critical.
Assessed September 23, 2026
Editorial notes
Mistral Medium 3 offers vision, file input, tool use, and a 131K context window at low listed rates; its measured reasoning and long-context results limit its fit for complex work.
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 offers vision, file input, tool use, and a 131K context window at low listed rates; its measured reasoning and long-context results limit its fit for complex work.
Benchmarks
Artificial Analysis data refreshed Oct 15, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis has not published coding or agentic results for Mistral: Mistral Medium 3 yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Mistral: Mistral Medium 3 compares
Mistral: Mistral Medium 3 ranks #252 of 439 AI models we track for overall intelligence. 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 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Medium 3
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost..
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Frequently asked questions about Mistral: Mistral Medium 3
How much does Mistral: Mistral Medium 3 cost?
Mistral: Mistral Medium 3 costs $0.40 per million input tokens and $2.00 per million output tokens.
What is the context window of Mistral: Mistral Medium 3?
Mistral: Mistral Medium 3 has a context window of 131,072 tokens (131K).
What can Mistral: Mistral Medium 3 do?
Mistral: Mistral Medium 3 supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Medium 3?
Mistral: Mistral Medium 3 is developed by Mistral and was released on May 7, 2025.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 15, 2026 8:38 pm