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Magistral Medium vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 4.5% higher average benchmark score. Magistral Medium supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Magistral Medium was introduced as a specialized model for advanced reasoning and analytical tasks, designed to handle complex problem-solving scenarios. Built to serve enterprise and professional applications requiring sophisticated reasoning, it represents Mistral's focus on high-quality analytical capabilities.
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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 Medium
Mistral AI
2025-06-10
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Average performance across 3 common benchmarks
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Magistral Medium
Average Score:64.9%
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QwQ-32B
Average Score:69.4%(+4.5%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
Magistral Medium
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 Medium
0 providers
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QwQ-32B
0 providers
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Magistral Medium
Avg Score:64.9%
Providers:0
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QwQ-32B
Avg Score:69.4%(+4.5%)
Providers:0