Mistral: Mistral Medium 3.5
Analysis Summary
Mistral Medium 3.5 is a multimodal business model with a 262K context window, tool use, and function calling. Its coding results are strong, while tool-oriented testing is particularly favorable. Vision and file input broaden its usefulness for document review, interface analysis, and operational assistants.
The model suits software support, structured content production, document workflows, and agents that need dependable interaction with external functions. General reasoning is less advanced than the leading flagship models, so difficult research, strategic synthesis, and high-stakes judgement may require escalation. Pricing sits in the middle of the market, making it more appropriate for valuable production workflows than indiscriminate bulk traffic. Adopt it as a capable coding and workflow specialist.
Assessed September 7, 2026
Editorial notes
Mistral Medium 3.5 combines strong coding, tool-use reliability, vision, and a 262K context window, making it a capable production choice despite only moderate general reasoning and midrange pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Medium 3.5 combines strong coding, tool-use reliability, vision, and a 262K context window, making it a capable production choice despite only moderate general reasoning and midrange pricing.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.9 Intelligence Index·46.9 Coding Index·9.4 Agentic Index
How Mistral: Mistral Medium 3.5 compares
Mistral: Mistral Medium 3.5 ranks #171 of 438 AI models we track for overall intelligence, #80 of 210 for coding, #119 of 192 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. At $1.50 per million input tokens it is cheaper than 20% 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 business fit. 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 | $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.
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 3.5 for the hard ones. Most clients cut their estimate by 60-80%.
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 #80 of 210 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.