Mistral Small 3.2 · Mistral-Small-3.2-24B-Instruct-2506
Mistral · 20 Jun 2025
benchmarks
Mistral Small 3.2 is a 24-billion-parameter, open-weight instruction model supporting text and image inputs, multilingual interaction, and function calling. It refines Mistral Small 3.1 with better instruction following, fewer repetitive generations, and a more robust function-calling template.
Benchmark results
Every figure links to where it was published. Compare like with like — harnesses and prompt setups differ between vendors.
| Benchmark | Score | Source |
|---|---|---|
| GPQA DiamondPhD-level science questions | 49.1%28 Aug 2026 | View |
| OTIS Mock AIME 2024-25Competition mathematics | 30.3%30 Aug 2026 | View |
Weighted mean of 2 verified benchmark results: GPQA Diamond 49.1%, OTIS Mock AIME 2024-25 30.3%.
Capabilities
- Processes text and image inputs to produce text responses.
- Supports multilingual conversation and instruction following.
- Supports function calling for integration with external tools.
- Supports structured output generation.
- Provides downloadable weights under the Apache 2.0 license for self-hosting and customization.
What improved
- Improves instruction following relative to Mistral Small 3.1.
- Reduces repetition errors and infinite-generation behavior.
- Introduces a more robust function-calling template.
Known flaws & limitations
- Repetition errors are reduced rather than eliminated.
- Instruction following remains imperfect in the published evaluations.
- Function-calling improvements do not guarantee correct tool selection or arguments.
Risks, safety & security issues
- Not yet confirmed by public reporting.
Good fit for
- Multilingual conversational assistants.
- Image-grounded question answering and document assistance.
- Tool-enabled workflows with application-side validation.
- Self-hosted applications requiring customizable, open-weight models.
Poor fit for
- Unsupervised high-stakes decisions requiring guaranteed correctness.
- Privileged tool execution without argument validation and authorization checks.
- Generation workflows without repetition detection or output limits.
References
Profile last reviewed 10/20/2026 and re-checked automatically every few hours against the vendor's published documentation, papers and public leaderboards. Scores come from the cited benchmark results above — confirm limits and pricing against the provider's own documentation before building on them.