Model Comparison
DeepSeek R1 Zero vs GPT-4.5
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 2 benchmarks (AIME 2024, GPQA), while GPT-4.5 is better at 0 benchmarks.
DeepSeek R1 Zero 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-4.5 specifies input context (128,000 tokens). Only GPT-4.5 specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
GPT-4.5 supports multimodal inputs, whereas DeepSeek R1 Zero does not.
GPT-4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
GPT-4.5
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while GPT-4.5 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-4.5 was released on 2025-02-27.
GPT-4.5 is 1 month newer than DeepSeek R1 Zero.
Jan 20, 2025
1.2 years ago
Feb 27, 2025
1.1 years ago
1mo 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
DeepSeek R1 Zero
View detailsDeepSeek
GPT-4.5
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs GPT-4.5