Analysis Summary
Mistral Medium 3.1 is a multimodal Mistral model built for practical API workflows. It accepts text, images, and files, supports tool use and function calling, and provides a 131K context window for substantial briefs and documents. The combination is well suited to teams wanting one model for content, extraction, and structured actions without flagship pricing.
It could support campaign analysis, document summarisation, content transformation, and supervised client-service agents. The supplied record does not include independent benchmark results for this batch variant, so its reasoning depth, coding ability, and reliability cannot be assumed from the product description alone. Output pricing is higher than input pricing, which matters for long-form generation. Use it as a practical secondary model after testing representative client prompts and tool calls.
Assessed September 1, 2026
Editorial notes
Mistral Medium 3.1 offers vision, file input, a 131K context window, and function calling at moderate batch pricing. Independent benchmark data is not supplied for this variant, so it should be validated before handling complex production work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Medium 3.1 offers vision, file input, a 131K context window, and function calling at moderate batch pricing. Independent benchmark data is not supplied for this variant, so it should be validated before handling complex production work.
How Mistral: Mistral Medium 3.1 (batch) compares
Its 131K-token context window is larger than 49% 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 business fit. 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 3.1 (batch) 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 751 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Medium 3.1 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Medium 3.1 (batch)
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances..
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Frequently asked questions about Mistral: Mistral Medium 3.1 (batch)
How much does Mistral: Mistral Medium 3.1 (batch) cost?
Mistral: Mistral Medium 3.1 (batch) costs $0.40 per million input tokens and $2.00 per million output tokens.
What is the context window of Mistral: Mistral Medium 3.1 (batch)?
Mistral: Mistral Medium 3.1 (batch) has a context window of 131,072 tokens (131K).
What can Mistral: Mistral Medium 3.1 (batch) do?
Mistral: Mistral Medium 3.1 (batch) supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Medium 3.1 (batch)?
Mistral: Mistral Medium 3.1 (batch) is developed by Mistral and was released on August 13, 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 4, 2026 8:38 pm