Analysis Summary
Mistral Medium 3.5 is a multimodal Mistral model aimed at substantial business workflows. Text, image, and file input combine with a 262K context window, tool use, and function calling, supporting long briefs, document analysis, and assistants that perform structured actions. Its feature set is suitable for consolidating several content and operations tasks in one API workflow.
Potential uses include client research, campaign planning, long-form content, asset review, and supervised agents. This batch variant has no independent benchmark data in the supplied record, so its reasoning and coding reliability should be tested rather than assumed. Output pricing is higher than input pricing, which makes it less attractive for high-volume generation. It is a candidate for higher-value content and document work, paired with a cheaper model for routine transformations.
Assessed September 1, 2026
Editorial notes
Mistral Medium 3.5 supports vision, file input, a 262K context window, tool use, and function calling for broad business workflows. Independent benchmark data is not supplied for this batch variant, and output pricing favours selective use over bulk generation.
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DFO Verdict
Mistral Medium 3.5 supports vision, file input, a 262K context window, tool use, and function calling for broad business workflows. Independent benchmark data is not supplied for this batch variant, and output pricing favours selective use over bulk generation.
How Mistral: Mistral Medium 3.5 (batch) compares
Its 33K-token context window is larger than 26% of the models we list. At $0.75 per million input tokens it is cheaper than 32% 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 | $0.75 | $0.000750 |
| Output | $3.75 | $0.003750 |
What would Mistral: Mistral Medium 3.5 (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 750 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 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Medium 3.5 (batch)
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..
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Frequently asked questions about Mistral: Mistral Medium 3.5 (batch)
How much does Mistral: Mistral Medium 3.5 (batch) cost?
Mistral: Mistral Medium 3.5 (batch) costs $0.75 per million input tokens and $3.75 per million output tokens.
What is the context window of Mistral: Mistral Medium 3.5 (batch)?
Mistral: Mistral Medium 3.5 (batch) has a context window of 32,768 tokens (33K).
What can Mistral: Mistral Medium 3.5 (batch) do?
Mistral: Mistral Medium 3.5 (batch) supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Medium 3.5 (batch)?
Mistral: Mistral Medium 3.5 (batch) is developed by Mistral and was released on April 30, 2026.
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 3:55 pm