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DeepSeek R1 Zero vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 6.6% higher average benchmark score. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
DeepSeek
2025-01-20
Magistral Small 2506
Mistral AI
2025-06-10
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Average performance across 3 common benchmarks
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DeepSeek R1 Zero
Average Score:70.0%(+6.6%)
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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 Zero
0 providers
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Magistral Small 2506
0 providers
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DeepSeek R1 Zero
Avg Score:70.0%(+6.6%)
Providers:0
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Magistral Small 2506
Avg Score:63.4%
Providers:0