DeepSeek-V2.5 vs o1 Comparison
Comparing DeepSeek-V2.5 and o1 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 1 benchmarks (HumanEval), while o1 is better at 4 benchmarks (GSM8k, MATH, MMLU, SWE-Bench Verified).
o1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 107.1x cheaper than o1 ($15.00/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 214.3x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than DeepSeek-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o1 accepts 200,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. o1 can generate longer responses up to 100,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while o1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while o1 was released on 2024-12-17.
o1 is 7 months newer than DeepSeek-V2.5.
May 8, 2024
1.9 years ago
Dec 17, 2024
1.3 years ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. o1 is available from Azure, OpenAI. The availability of providers can affect quality of the model and reliability.
DeepSeek-V2.5
o1
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
o1
View detailsOpenAI
Detailed Comparison
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