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DeepSeek R1 Zero vs o1-pro
Comprehensive side-by-side LLM comparison
o1-pro leads with 2.5% higher average benchmark score. o1-pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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OpenAI
o1-pro was developed as an enhanced version of the o1 reasoning model, designed to provide extended reasoning capabilities with greater depth and reliability. Built for professionals and advanced users tackling complex analytical tasks, it offers enhanced thinking time and reasoning quality for the most demanding applications.
1 month newer
o1-pro
OpenAI
2024-12-17
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Average performance across 2 common benchmarks
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DeepSeek R1 Zero
Average Score:80.0%
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o1-pro
Average Score:82.5%(+2.5%)
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Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
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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o1-pro
0 providers
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DeepSeek R1 Zero
Avg Score:80.0%
Providers:0
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o1-pro
Avg Score:82.5%(+2.5%)
Providers:0