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DeepSeek-R1 vs o3 Pro
Comprehensive side-by-side LLM comparison
o3 Pro offers 164.0K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $97.26 cheaper per million tokens. o3 Pro supports multimodal inputs. 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-pro, released by OpenAI in June 2025, is an extended reasoning model from the o3 family that applies more compute per response to deliver deeper, more thorough answers on complex problems. It features a 200K token context window, 100K maximum output tokens, and vision capabilities. o3-pro targets research-grade reasoning tasks, extended coding sessions, and applications where accuracy on difficult problems justifies higher inference cost and latency.
4 months newer
DeepSeek-R1
DeepSeek
2025-01-20
o3 Pro
OpenAI
2025-06-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($97.26 cheaper)
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o3 Pro
Input:$20.00
Output:$80.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
1 providers
DeepSeek
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o3 Pro
1 providers
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DeepSeek-R1
Avg Score:0.0%
Providers:1
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o3 Pro
Avg Score:0.0%
Providers:1