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DeepSeek R1 Zero vs o3-mini
Comprehensive side-by-side LLM comparison
o3-mini leads with 2.3% higher average benchmark score. o3-mini is available on 2 providers. 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
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
10 days newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
o3-mini
OpenAI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Zero
Average Score:80.0%
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o3-mini
Average Score:82.3%(+2.3%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
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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o3-mini
2 providers
Azure
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DeepSeek R1 Zero
Avg Score:80.0%
Providers:0
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o3-mini
Avg Score:82.3%(+2.3%)
Providers:2