Mistral: Mistral Medium 3.5
Analysis Summary
Mistral Medium 3.5 is a mid-tier model from Mistral with an intelligence index of 29.9 and a coding index of 35.4, sitting just below the top tier but with a strong agentic index of 63.7 and an excellent tau2 score of 0.942. It supports vision, tool use, function calling, and a 262K context window, giving it broad capability coverage for business use.
Instruction following is a clear strength, with an ifbench score of 0.688 and long-context reasoning of 0.61, both above average for this tier. This makes it well suited to client-facing content generation, document analysis, and structured output tasks. The vision modality adds value for teams processing mixed media.
At $1.50 input and $7.50 output, it is priced in the mid-range. Businesses looking for a capable, multimodal model from a well-supported provider that handles both content and agentic tasks without flagship pricing will find Mistral Medium 3.5 a practical choice.
Assessed June 19, 2026
Editorial notes
Mistral Medium 3.5 combines strong instruction following, vision support, tool use, and a 262K context window with a competitive agentic index, making it a capable all-rounder for business content and automation workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Mistral: Mistral Medium 3.5 compares
Mistral: Mistral Medium 3.5 ranks #80 of 380 AI models we track for overall intelligence, #28 of 94 for coding, #47 of 292 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $1.50 per million input tokens it is cheaper than 18% of comparable models.
About 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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Mistral: Mistral Medium 3.5 stack up?
Compare side-by-side with other specialist models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.50 | $0.001500 |
| Output | $7.50 | $0.007500 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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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 #28 of 94 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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 19, 2026 8:38 pm