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DeepSeek-V3 vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 18.1% higher average benchmark score. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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
DeepSeek
2024-12-25
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-V3
Average Score:45.3%
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Magistral Small 2506
Average Score:63.4%(+18.1%)
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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 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Magistral Small 2506
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DeepSeek-V3
Avg Score:45.3%
Providers:1
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Magistral Small 2506
Avg Score:63.4%(+18.1%)
Providers:0