Mistral Small 3.2 24B
Mistral's efficiency model. Context window: 128K tokens.
Scores by test
Methodology →What you need to know
Mistral Small 3.2 24B is a low-cost utility model optimized for structured tasks and automation. Its primary value lies in its strong execution of tool calling, agentic planning, and structured output, all while maintaining high faithfulness and performance across a 128K context window.
Despite its operational strengths, the model struggles with high-level cognitive tasks. It performs poorly in strategic analysis and creative problem solving, and it has a critical failure in safety calibration. This suggests the model is a functional engine for predefined workflows rather than a reasoning partner for complex, open-ended problems.
At a blended cost of $0.169/MTok, the model is highly affordable. It provides a bargain for developers needing reliable multilingual support and constrained rewriting without the overhead of a frontier model, provided the application does not require strict safety guardrails or deep analytical capabilities.
Use this model if you are building agents that require reliable tool integration, structured data extraction, or long-context processing on a tight budget. Skip this model if your use case requires nuanced strategic reasoning, creative generation, or high safety alignment.
Strengths — Top 3
Relative weaknesses — Bottom 3
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