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Magistral Small 2506 vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 33.6% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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Mistral AI
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). 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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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Magistral Small 2506
Mistral AI
2025-06-10
Average performance across 8 common benchmarks
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Magistral Small 2506
Average Score:31.6%
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QwQ-32B
Average Score:65.3%(+33.6%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Magistral Small 2506
0 providers
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QwQ-32B
0 providers
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Magistral Small 2506
Avg Score:31.6%
Providers:0
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QwQ-32B
Avg Score:65.3%(+33.6%)
Providers:0