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DeepSeek-V2.5 vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 10.1% higher average benchmark score. o1 offers 283.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $74.58 cheaper per million tokens. Overall, o1 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 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
o1
OpenAI
2024-12-17
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($74.58 cheaper)
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o1
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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DeepSeek-V2.5
Average Score:36.8%
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o1
Average Score:46.9%(+10.1%)
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:36.8%
Providers:3
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o1
Avg Score:46.9%(+10.1%)
Providers:2