Magistral Small 2506
Zero-eval
by Mistral AI
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About
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
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Timeline
AnnouncedJun 10, 2025
ReleasedJun 10, 2025
Knowledge CutoffJun 1, 2025
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License & Family
License
Apache 2.0
Performance Overview
Performance metrics and category breakdown
Overall Performance
4 benchmarks
Average Score
63.2%
Best Score
70.7%
High Performers (80%+)
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All Benchmark Results for Magistral Small 2506
Complete list of benchmark scores with detailed information
| AIME 2024 | text | 0.71 | 70.7% | Self-reported | |
| GPQA | text | 0.68 | 68.2% | Self-reported | |
| AIME 2025 | text | 0.63 | 62.8% | Self-reported | |
| LiveCodeBench | text | 0.51 | 51.3% | Self-reported |
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