Ministral 3 8B 2512
Mistral's efficiency model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Ministral 3 8B 2512 is optimized for precision-based tasks and strict formatting. It achieves perfect scores in persona consistency and constrained rewriting, making it highly reliable for maintaining a specific brand voice or adhering to rigid output templates. Its strong performance in classification, structured output, and tool calling indicates it is built for deterministic workflows rather than open-ended reasoning.
The model offers a massive 262K context window at a very low price point of $0.150 per million tokens for both input and output. This combination makes it an efficient choice for processing large documents or long conversation histories without incurring significant costs. However, this efficiency comes with a trade-off in cognitive depth, as it ranks in the bottom third of tested models overall.
Performance drops significantly when the model is tasked with complex reasoning. It struggles with strategic analysis, agentic planning, and creative problem solving. Most notably, its safety calibration is a critical weakness, scoring 1/5, which suggests a lack of robust guardrails or a tendency to produce unfiltered responses.
Use this model if you need a low-cost, long-context engine for classification, data extraction, or rewriting tasks where persona stability is mandatory. Skip this model if your application requires complex strategic planning, high-level creativity, or strict safety alignment.
Strengths — Top 3
Relative weaknesses — Bottom 3
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