Model Comparison
DeepSeek R1 Distill Llama 70B vs o1-pro
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (AIME 2024), while o1-pro is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
o1-pro supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
o1-pro
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B 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 Distill Llama 70B was released on 2025-01-20, while o1-pro was released on 2024-12-17.
DeepSeek R1 Distill Llama 70B is 1 month newer than o1-pro.
Jan 20, 2025
1.3 years ago
1mo newerDec 17, 2024
1.4 years ago
Knowledge Cutoff
When training data ends
o1-pro has a documented knowledge cutoff of 2023-09-30, while DeepSeek R1 Distill Llama 70B'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 Distill Llama 70B's cutoff date.
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Sep 2023
Outputs Comparison
Key Takeaways
o1-pro
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs o1-pro.