Mistral: Devstral Medium
Analysis Summary
Mistral Devstral Medium is a coding-oriented model with file input, tool use, function calling, and a 131K context window. Its profile is more specialised than general-purpose, with coding results that support practical development assistance while broader reasoning and mathematical results remain limited. The available terminal performance also indicates caution with unsupervised execution.
It suits code generation, repository-oriented assistance, file-based technical work, and structured developer tools where a human reviews the result. It is less suitable for autonomous software agents, complex architecture decisions, or polished client-facing content. The text and file modality is useful for engineering workflows, but there is no vision support listed.
Low input pricing helps with frequent coding calls, although output pricing is higher. Adopt it for supervised development workflows, not as the sole model for production engineering agents.
Assessed August 9, 2026
Editorial notes
Devstral Medium is focused on software work, with tool use, function calling, file input, and a 131K context window. Coding capability is useful, but reasoning, terminal, and instruction-following results limit autonomous engineering reliability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Devstral Medium is focused on software work, with tool use, function calling, file input, and a 131K context window. Coding capability is useful, but reasoning, terminal, and instruction-following results limit autonomous engineering reliability.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
12.4 Intelligence Index·4.7 Math Index
How Mistral: Devstral Medium compares
Mistral: Devstral Medium ranks #238 of 420 AI models we track for overall intelligence. Its 131K-token context window is larger than 51% of the models we list. At $0.40 per million input tokens it is cheaper than 43% 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: Devstral Medium 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 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Devstral Medium for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Devstral Medium
Devstral Medium is a high-performance code generation and agentic reasoning model developed jointly by Mistral AI and All Hands AI. Positioned as a step up from Devstral Small, it achieves..
Frequently asked questions about Mistral: Devstral Medium
How much does Mistral: Devstral Medium cost?
Mistral: Devstral Medium costs $0.40 per million input tokens and $2.00 per million output tokens.
What is the context window of Mistral: Devstral Medium?
Mistral: Devstral Medium has a context window of 131,072 tokens (131K).
What can Mistral: Devstral Medium do?
Mistral: Devstral Medium supports tool use and function calling.
Who created Mistral: Devstral Medium?
Mistral: Devstral Medium is developed by Mistral and was released on July 10, 2025.
