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Magistral Small 2506 vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 6.0% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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Mistral AI
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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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
3 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Magistral Small 2506
Mistral AI
2025-06-10
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Average performance across 3 common benchmarks
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Magistral Small 2506
Average Score:63.4%
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QwQ-32B
Average Score:69.4%(+6.0%)
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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:63.4%
Providers:0
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QwQ-32B
Avg Score:69.4%(+6.0%)
Providers:0