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DeepSeek R1 Distill Qwen 32B vs Magistral Medium
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 2.6% higher average benchmark score. Magistral Medium supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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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.
4 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Magistral Medium
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:67.5%(+2.6%)
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Magistral Medium
Average Score:64.9%
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Knowledge Cutoff
Training data recency comparison
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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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Magistral Medium
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DeepSeek R1 Distill Qwen 32B
Avg Score:67.5%(+2.6%)
Providers:1
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Magistral Medium
Avg Score:64.9%
Providers:0