Model Comparison
DeepSeek R1 Zero vs GPT-4o
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while GPT-4o is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas DeepSeek R1 Zero does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
GPT-4o
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while GPT-4o 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 GPT-4o was released on 2024-05-13.
DeepSeek R1 Zero is 8 months newer than GPT-4o.
Jan 20, 2025
1.3 years ago
8mo newerMay 13, 2024
2.0 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
GPT-4o
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs GPT-4o.