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DeepSeek-R1 vs o3
Comprehensive side-by-side LLM comparison
o3 leads with 6.7% higher average benchmark score. o3 offers 164.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $47.26 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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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, released by OpenAI in April 2025, is a large reasoning model that applies extended chain-of-thought processing to deliver improved performance on complex math, science, and coding tasks. It features a 200K token context window and native image understanding, with demonstrated strong results on mathematics and software engineering benchmarks. o3 targets demanding analytical and engineering tasks where deliberate, multi-step reasoning produces significantly better outcomes than direct generation.
2 months newer
DeepSeek-R1
DeepSeek
2025-01-20
o3
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($47.26 cheaper)
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o3
Input:$10.00
Output:$40.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-R1
Average Score:62.4%
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o3
Average Score:69.1%(+6.7%)
Performance comparison across key benchmark categories
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DeepSeek-R1
Science62.4%
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o3
Science69.1%(+6.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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o3
1 providers
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DeepSeek-R1
Avg Score:62.4%
Providers:1
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o3
Avg Score:69.1%(+6.7%)
Providers:1