Mistral Small 3.2 24B Instruct
Multimodal
Zero-eval
#1HumanEval Plus
#1IF
#1MBPP Plus
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by Mistral AI
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About
Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.6% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Timeline
AnnouncedJun 20, 2025
ReleasedJun 20, 2025
Knowledge CutoffOct 1, 2023
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Specifications
Capabilities
Multimodal
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License & Family
License
Apache 2.0
Base ModelMistral Small 3.1 24B Base
Performance Overview
Performance metrics and category breakdown
Overall Performance
15 benchmarks
Average Score
69.6%
Best Score
94.9%
High Performers (80%+)
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All Benchmark Results for Mistral Small 3.2 24B Instruct
Complete list of benchmark scores with detailed information
| DocVQA | multimodal | 0.95 | 94.9% | Self-reported | |
| AI2D | multimodal | 0.93 | 92.9% | Self-reported | |
| HumanEval Plus | text | 0.93 | 92.9% | Self-reported | |
| ChartQA | multimodal | 0.87 | 87.4% | Self-reported | |
| IF | text | 0.85 | 84.8% | Self-reported | |
| MMLU | text | 0.81 | 80.5% | Self-reported | |
| MBPP Plus | text | 0.78 | 78.3% | Self-reported | |
| MATH | text | 0.69 | 69.4% | Self-reported | |
| MMLU-Pro | text | 0.69 | 69.1% | Self-reported | |
| MathVista | multimodal | 0.67 | 67.1% | Self-reported |
Showing 1 to 10 of 15 benchmarks