Mistral Small 3.2 24B
Mistral's efficiency model. Context window: 131K tokens.
Scores by test
Methodology →What you need to know
Mistral Small 3.2 24B is optimized for operational reliability and structured tasks rather than cognitive depth. Its strongest differentiators are its high performance in tool calling, agentic planning, and structured output, all scoring 4/5. These capabilities, paired with a 256K context window, make it a viable engine for automated workflows and long-document processing where precise execution is more important than nuanced reasoning.
The model struggles with high-level cognition and safety. With scores of 2/5 in strategic analysis and creative problem solving, it is not suited for complex brainstorming or architectural planning. Most notably, its safety calibration is nearly non-existent at 1/5, meaning developers must implement rigorous external guardrails to prevent problematic outputs.
At a blended cost of $0.250/MTok, this model is positioned as a low-cost utility. While it ranks low overall (#126 of 130), its ability to handle constrained rewriting and multilingual tasks efficiently suggests it provides a high return on investment for specific, narrow technical applications rather than general-purpose assistance.
Use this model if you need a cheap, high-context worker for tool-driven agents, structured data extraction, or multilingual rewriting. Skip this model if your application requires complex strategic reasoning, creative synthesis, or built-in safety filters.
Strengths — Top 3
Relative weaknesses — Bottom 3
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