Model Comparison
GPT-4o vs DeepSeek R1 Zero
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 0 benchmarks, while DeepSeek R1 Zero is better at 2 benchmarks (AIME 2024, GPQA).
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 (16,384 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.
GPT-4o
DeepSeek R1 Zero
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while DeepSeek R1 Zero uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-08-06, while DeepSeek R1 Zero was released on 2025-01-20.
DeepSeek R1 Zero is 6 months newer than GPT-4o.
Aug 6, 2024
1.8 years ago
Jan 20, 2025
1.3 years ago
5mo newerKnowledge 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
GPT-4o
View detailsOpenAI
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about GPT-4o vs DeepSeek R1 Zero.