Model Comparison
DeepSeek R1 Zero vs GPT-4.1 mini
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-4.1 mini 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-4.1 mini specifies input context (1,047,576 tokens). Only GPT-4.1 mini specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
GPT-4.1 mini supports multimodal inputs, whereas DeepSeek R1 Zero does not.
GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
GPT-4.1 mini
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while GPT-4.1 mini 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-4.1 mini was released on 2025-04-14.
GPT-4.1 mini is 3 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.2 years ago
Apr 14, 2025
11 months ago
2mo newerKnowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
—
May 2024
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
GPT-4.1 mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs GPT-4.1 mini