DeepSeek R1 Zero vs o1-preview Comparison
Comparing DeepSeek R1 Zero and o1-preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 1 benchmarks (AIME 2024), while o1-preview is better at 0 benchmarks.
DeepSeek R1 Zero has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only o1-preview specifies input context (128,000 tokens). Only o1-preview specifies output context (32,768 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while o1-preview 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 Zero was released on 2025-01-20, while o1-preview was released on 2024-09-12.
DeepSeek R1 Zero is 4 months newer than o1-preview.
Jan 20, 2025
1.2 years ago
4mo 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.
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
o1-preview
View detailsOpenAI
Detailed Comparison
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