Mistral Medium 3.1
Mistral's mid-tier model. Context window: 131K tokens.
Scores by test
Methodology →What you need to know
Mistral Medium 3.1 is optimized for high-complexity logical tasks and long-form processing. It achieves perfect internal scores in strategic analysis, agentic planning, and constrained rewriting, making it highly effective for structured workflows and complex reasoning. Its 131K context window is backed by a 5/5 long-context score, ensuring reliability when processing large datasets or extensive documentation.
The model is priced at a blended cost of $1.60/MTok, positioning it as a mid-tier option. Given its performance in strategic and multilingual tasks, it offers a strong value proposition for developers who need reasoning capabilities close to frontier models without the associated cost of top-tier proprietary APIs.
There are notable trade-offs in safety and creativity. A 2/5 score in safety calibration suggests a higher likelihood of bypassing guardrails, which may require additional filtering layers for public-facing applications. Additionally, its 3/5 score in creative problem solving indicates it is better suited for deterministic tasks than open-ended generative work.
Use this model if your application requires rigorous agentic planning, multilingual support, or precise rewriting of large documents. Skip this model if your use case requires high safety constraints or high-variance creative output.
Strengths — Top 3
Relative weaknesses — Bottom 3
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