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DeepSeek-V3.1 vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 1.4% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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.
5 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Magistral Small 2506
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3.1
Average Score:61.9%
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Magistral Small 2506
Average Score:63.2%(+1.4%)
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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-V3.1
2 providers
DeepInfra
Novita
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Magistral Small 2506
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DeepSeek-V3.1
Avg Score:61.9%
Providers:2
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Magistral Small 2506
Avg Score:63.2%(+1.4%)
Providers:0