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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 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
o3-pro is a multimodal language model developed by OpenAI. It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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
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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