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DeepSeek-V3 vs o1-pro
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 58.9% higher average benchmark score. o1-pro supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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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
o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.
8 days newer
o1-pro
OpenAI
2024-12-17
DeepSeek-V3
DeepSeek
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek-V3
Average Score:67.2%(+58.9%)
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o1-pro
Average Score:8.2%
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Knowledge Cutoff
Training data recency comparison
o1-pro
2023-09-30
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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o1-pro
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DeepSeek-V3
Avg Score:67.2%(+58.9%)
Providers:1
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o1-pro
Avg Score:8.2%
Providers:0