DeepSeek R1 Distill Qwen 1.5B vs GPT-4.1 nano Comparison
Comparing DeepSeek R1 Distill Qwen 1.5B and GPT-4.1 nano across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B outperforms in 1 benchmarks (AIME 2024), while GPT-4.1 nano is better at 1 benchmark (GPQA).
Both models are evenly matched across the 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 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
GPT-4.1 nano supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.
GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 1.5B
GPT-4.1 nano
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while GPT-4.1 nano 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 Distill Qwen 1.5B was released on 2025-01-20, while GPT-4.1 nano was released on 2025-04-14.
GPT-4.1 nano is 3 months newer than DeepSeek R1 Distill Qwen 1.5B.
Jan 20, 2025
1.2 years ago
Apr 14, 2025
11 months ago
2mo newerKnowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.
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May 2024
Outputs Comparison
Key Takeaways
GPT-4.1 nano
View detailsOpenAI
Detailed Comparison
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