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Magistral Small 2506 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. QwQ-32B-Preview is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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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-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Magistral Small 2506
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Magistral Small 2506
Average Score:50.6%
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QwQ-32B-Preview
Average Score:51.2%(+0.6%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
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-Preview
4 providers
DeepInfra
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Magistral Small 2506
Avg Score:50.6%
Providers:0
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QwQ-32B-Preview
Avg Score:51.2%(+0.6%)
Providers:4