Model Comparison
GPT-5 High vs DeepSeek R1 Zero
GPT-5 High significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 High outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Zero is better at 0 benchmarks.
GPT-5 High significantly outperforms across most 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 GPT-5 High specifies input context (400,000 tokens). Only GPT-5 High specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5 High supports multimodal inputs, whereas DeepSeek R1 Zero does not.
GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 High
DeepSeek R1 Zero
License
Usage and distribution terms
GPT-5 High 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-5 High was released on 2025-08-07, while DeepSeek R1 Zero was released on 2025-01-20.
GPT-5 High is 7 months newer than DeepSeek R1 Zero.
Aug 7, 2025
8 months ago
6mo newerJan 20, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
GPT-5 High has a documented knowledge cutoff of 2024-09-30, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
Sep 2024
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Outputs Comparison
Key Takeaways
GPT-5 High
View detailsOpenAI
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about GPT-5 High vs DeepSeek R1 Zero