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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 8.8% higher average benchmark score. Overall, DeepSeek R1 Distill Qwen 32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
4 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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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DeepSeek R1 Distill Qwen 32B
Average Score:59.4%(+8.8%)
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Magistral Small 2506
Average Score:50.6%
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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:59.4%(+8.8%)
Providers:1
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Magistral Small 2506
Avg Score:50.6%
Providers:0