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 high-precision formatting and persona adherence. It achieves perfect scores in persona consistency and constrained rewriting, making it a reliable choice for applications requiring strict adherence to a specific voice or rigid output templates. Its capabilities in classification, tool calling, and structured output are consistently strong, supported by a generous 262K context window.
The model's pricing is highly aggressive at $0.150 per million tokens for both input and output. This represents a significant value proposition for developers who need high-reliability formatting and long-context processing without the cost of a frontier-class model.
However, the model struggles with complex reasoning and data organization. It performs poorly with tabular data and shows a critical weakness in safety calibration. It is also mediocre at strategic analysis, creative problem solving, and agentic planning, indicating it is a specialized tool rather than a general-purpose reasoning engine.
Use this model for high-volume classification, persona-driven chatbots, or rewriting tasks with strict constraints. Skip this model for data analysis involving tables, complex autonomous planning, or applications requiring rigorous safety guardrails.
Strengths — Top 3
Relative weaknesses — Bottom 3
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