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DeepSeek-R1 vs o3-pro
Comprehensive side-by-side LLM comparison
o3-pro offers 37.9K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $97.26 cheaper per million tokens. o3-pro supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
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OpenAI
o3-pro was developed as the flagship reasoning model in the o3 family, designed to deliver maximum reasoning depth and reliability for the most challenging analytical tasks. Built for professionals requiring the highest level of thoughtful problem-solving, it extends reasoning capabilities to handle complex multi-step challenges across diverse domains.
4 months newer
DeepSeek-R1
DeepSeek
2025-01-20
o3-pro
OpenAI
2025-06-10
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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
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Knowledge Cutoff
Training data recency comparison
o3-pro
2024-05-31
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
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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o3-pro
Avg Score:0.0%
Providers:1