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DeepSeek R1 Distill Qwen 32B vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 4.1% higher average benchmark score. 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 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.
4 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Magistral Small 2506
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%(+4.1%)
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Magistral Small 2506
Average Score:63.4%
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Knowledge Cutoff
Training data recency comparison
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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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Magistral Small 2506
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DeepSeek R1 Distill Qwen 32B
Avg Score:67.5%(+4.1%)
Providers:1
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Magistral Small 2506
Avg Score:63.4%
Providers:0