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DeepSeek-V3.1 vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 42.6% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. 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.
5 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Magistral Small 2506
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek-V3.1
Average Score:58.4%(+42.6%)
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Magistral Small 2506
Average Score:15.8%
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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-V3.1
2 providers
DeepInfra
Novita
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Magistral Small 2506
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DeepSeek-V3.1
Avg Score:58.4%(+42.6%)
Providers:2
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Magistral Small 2506
Avg Score:15.8%
Providers:0