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DeepSeek-V2.5 vs o1-pro
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 53.0% higher average benchmark score. o1-pro supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
o1-pro
OpenAI
2024-12-17
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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DeepSeek-V2.5
Average Score:62.8%(+53.0%)
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o1-pro
Average Score:9.7%
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:62.8%(+53.0%)
Providers:3
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o1-pro
Avg Score:9.7%
Providers:0