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DeepSeek R1 Zero vs DeepSeek-V3
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 20.0% 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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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.
26 days newer
DeepSeek-V3
DeepSeek
2024-12-25
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek R1 Zero
Average Score:76.5%(+20.0%)
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DeepSeek-V3
Average Score:56.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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DeepSeek-V3
1 providers
DeepSeek
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DeepSeek R1 Zero
Avg Score:76.5%(+20.0%)
Providers:0
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DeepSeek-V3
Avg Score:56.5%
Providers:1