Model Comparison
DeepSeek-R1 vs o1-pro
Comparing DeepSeek-R1 and o1-pro across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1 and o1-pro don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
o1-pro supports multimodal inputs, whereas DeepSeek-R1 does not.
o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1
o1-pro
License
Usage and distribution terms
DeepSeek-R1 is licensed under MIT, while o1-pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while o1-pro was released on 2024-12-17.
DeepSeek-R1 is 1 month newer than o1-pro.
Jan 20, 2025
1.2 years ago
1mo newerDec 17, 2024
1.3 years ago
Knowledge Cutoff
When training data ends
o1-pro has a documented knowledge cutoff of 2023-09-30, while DeepSeek-R1's cutoff date is not specified.
We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek-R1's cutoff date.
—
Sep 2023
Outputs Comparison
Key Takeaways
DeepSeek-R1
View detailsDeepSeek
o1-pro
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1 vs o1-pro