DeepSeek R1 Zero vs o1 Comparison
Comparing DeepSeek R1 Zero and o1 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 1 benchmarks (AIME 2024), while o1 is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
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 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while o1 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 was released on 2024-12-17.
DeepSeek R1 Zero is 1 month newer than o1.
Jan 20, 2025
1.2 years ago
1mo newerDec 17, 2024
1.3 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
View detailsOpenAI
Detailed Comparison
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