Mistral Large 3 2512
Mistral's efficiency model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Mistral Large 3 2512 is optimized for high-precision, structured tasks and multilingual deployment. It achieves top marks for structured output, faithfulness, and multilingual capabilities, making it a reliable choice for extracting data into specific formats or operating across different languages without losing factual integrity.
The model's pricing is mid-range, with a blended cost of $1.25 per million tokens. While it provides a generous 262K context window and strong performance in agentic planning and strategic analysis, its overall rank of 56 out of 71 suggests it is outperformed by many competitors in general-purpose reasoning.
A critical weakness is safety calibration, where it scores 1/5, indicating a high risk of generating unsafe or unfiltered content. It also struggles with creative problem solving and maintaining consistent personas, which limits its utility for conversational AI or open-ended creative writing.
Use this model if you need a faithful, multilingual engine for structured data extraction or agentic tool calling. Skip this model if your application requires strict safety guardrails, creative flexibility, or high-ranking general intelligence.
Strengths — Top 3
Relative weaknesses — Bottom 3
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