Mistral: Mistral Medium 3.5
Analysis Summary
Mistral Medium 3.5 is a multimodal model with a 262,144-token context window, vision, tool use, and function calling. Its coding index and tool-interaction results are strong relative to its modest general intelligence index, making coding and structured tool workflows its clearest measured strengths. Its instruction-following and long-context results offer useful supporting evidence for business tasks.
This profile suits software development assistance, tool-mediated automation, and image or file analysis where coding ability is more important than broad reasoning depth. It could also support content workflows, but the comparatively low overall intelligence result argues against relying on it for the most complex analysis or high-stakes decisions without review. Listed pricing is in the middle range rather than ultra-low.
Use it as a capable coding and tool-use specialist, and validate quality on tasks where general reasoning is central.
Assessed September 23, 2026
Editorial notes
Mistral Medium 3.5 combines strong measured coding and tool-use results with vision, function calling, and a 262K context; its general reasoning index is comparatively low.
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 3.5 combines strong measured coding and tool-use results with vision, function calling, and a 262K context; its general reasoning index is comparatively low.
Benchmarks
Artificial Analysis data refreshed Oct 14, 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.
How Mistral: Mistral Medium 3.5 compares
Mistral: Mistral Medium 3.5 ranks #172 of 437 AI models we track for overall intelligence, #68 of 198 for coding, #107 of 181 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $1.50 per million input tokens it is cheaper than 18% 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 | $1.50 | $0.001500 |
| Output | $7.50 | $0.007500 |
What would Mistral: Mistral Medium 3.5 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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Talk to our teamAbout Mistral: Mistral Medium 3.5
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex..
Frequently asked questions about Mistral: Mistral Medium 3.5
How much does Mistral: Mistral Medium 3.5 cost?
Mistral: Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens.
What is the context window of Mistral: Mistral Medium 3.5?
Mistral: Mistral Medium 3.5 has a context window of 262,144 tokens (262K).
Is Mistral: Mistral Medium 3.5 good for coding?
On our coding benchmark index, Mistral: Mistral Medium 3.5 ranks #68 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can Mistral: Mistral Medium 3.5 do?
Mistral: Mistral Medium 3.5 supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Medium 3.5?
Mistral: Mistral Medium 3.5 is developed by Mistral and was released on April 30, 2026.