DeepSeek-V2.5 vs o1-mini Comparison
Comparing DeepSeek-V2.5 and o1-mini across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V2.5 outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (HumanEval, MMLU).
o1-mini 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 21.4x cheaper than o1-mini ($3.00/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 42.9x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini 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-mini accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. o1-mini can generate longer responses up to 65,536 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-mini 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-mini was released on 2024-09-12.
o1-mini is 4 months newer than DeepSeek-V2.5.
May 8, 2024
1.9 years ago
Sep 12, 2024
1.5 years ago
4mo 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-mini is available from OpenAI, Azure. The availability of providers can affect quality of the model and reliability.
DeepSeek-V2.5
o1-mini
Outputs Comparison
Key Takeaways
DeepSeek-V2.5
View detailsDeepSeek
o1-mini
View detailsOpenAI
Detailed Comparison
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