Analysis Summary
Mistral Medium 3 is a multimodal model with text, image, and file input, a 128K context window, and documented tool use and function calling. Its benchmark profile is stronger in general language tasks and coding-oriented tests than its intelligence index alone suggests, although terminal and agentic reliability remain limited.
The model fits document extraction, visual content review, structured SEO production, customer support, and moderate software tasks. Vision and long context expand its practical usefulness, while the price is more accessible than premium reasoning models. Adopt it as a versatile secondary model for workflows that need broad input handling, but reserve high-stakes reasoning and autonomous engineering for stronger systems.
Assessed September 7, 2026
Editorial notes
Mistral Medium 3 combines vision, file input, 128K context, and tool calling at moderate prices, making it useful for document workflows and structured content despite limited high-end reasoning performance.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Medium 3 combines vision, file input, 128K context, and tool calling at moderate prices, making it useful for document workflows and structured content despite limited high-end reasoning performance.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
9 Intelligence Index·30.3 Math Index
How Mistral: Mistral Medium 3 compares
Mistral: Mistral Medium 3 ranks #257 of 438 AI models we track for overall intelligence. 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 technical 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 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 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm