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DeepSeek-V3 vs o3-pro
Comprehensive side-by-side LLM comparison
o3-pro offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $98.63 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-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
5 months newer
DeepSeek-V3
DeepSeek
2024-12-25
o3-pro
OpenAI
2025-06-10
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($98.63 cheaper)
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o3-pro
Input:$20.00
Output:$80.00
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek-V3
Average Score:67.2%(+67.2%)
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o3-pro
Average Score:0.0%
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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-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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o3-pro
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DeepSeek-V3
Avg Score:67.2%(+67.2%)
Providers:1
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o3-pro
Avg Score:0.0%
Providers:1