DeepSeek-V3 vs o1-mini Comparison
Comparing DeepSeek-V3 and o1-mini across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 outperforms in 2 benchmarks (MATH-500, MMLU), while o1-mini is better at 1 benchmark (GPQA).
DeepSeek-V3 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 ($0.27/1M tokens) is 11.1x cheaper than o1-mini ($3.00/1M tokens).
For output processing, DeepSeek-V3 ($1.10/1M tokens) is 10.9x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than DeepSeek-V3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V3 accepts 131,072 input tokens compared to o1-mini's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while o1-mini is limited to 65,536 tokens.
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while o1-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while o1-mini was released on 2024-09-12.
DeepSeek-V3 is 3 months newer than o1-mini.
Dec 25, 2024
1.2 years ago
3mo newerSep 12, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3 is available from DeepSeek. o1-mini is available from OpenAI, Azure. The availability of providers can affect quality of the model and reliability.
DeepSeek-V3
o1-mini
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
o1-mini
View detailsOpenAI
Detailed Comparison
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