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DeepSeek-R1 vs o3 mini
Comprehensive side-by-side LLM comparison
DeepSeek-R1 leads with 1.6% higher average benchmark score. o3 mini offers 164.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $2.76 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1, released by DeepSeek on January 20, 2025, is a large reasoning model with 671 billion total parameters (37 billion active in its MoE architecture) designed for extended chain-of-thought reasoning. It features a 128K token context window and demonstrated strong performance on mathematics, coding, and scientific reasoning benchmarks at its release. DeepSeek-R1 targets complex analytical tasks, competitive programming, and applications requiring deep deliberative reasoning under an open MIT license.
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OpenAI
OpenAI o3 mini, released by OpenAI in January 2025, is a compact reasoning model from the o3 family designed for efficient, cost-effective STEM problem-solving. It features a 200K token context window and adjustable chain-of-thought effort settings, allowing developers to trade reasoning depth for speed. o3 mini targets science, mathematics, and coding applications where lower inference cost and faster response times are a priority.
11 days newer
DeepSeek-R1
DeepSeek
2025-01-20
o3 mini
OpenAI
2025-01-31
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($2.76 cheaper)
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o3 mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-R1
Average Score:3.1%(+1.6%)
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o3 mini
Average Score:1.5%
Performance comparison across key benchmark categories
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DeepSeek-R1
Agents3.1%(+1.6%)
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o3 mini
Agents1.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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o3 mini
1 providers
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DeepSeek-R1
Avg Score:3.1%(+1.6%)
Providers:1
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o3 mini
Avg Score:1.5%
Providers:1