GPT-5 nano vs Qwen3-Coder 480B A35B Instruct Comparison
Comparing GPT-5 nano and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 nano and Qwen3-Coder 480B A35B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5 nano supports multimodal inputs, whereas Qwen3-Coder 480B A35B Instruct does not.
GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 nano
Qwen3-Coder 480B A35B Instruct
License
Usage and distribution terms
GPT-5 nano is licensed under a proprietary license, while Qwen3-Coder 480B A35B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5 nano was released on 2025-08-07, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.
GPT-5 nano is 6 months newer than Qwen3-Coder 480B A35B Instruct.
Aug 7, 2025
7 months ago
6mo newerJan 31, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen3-Coder 480B A35B Instruct's cutoff date is not specified.
We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen3-Coder 480B A35B Instruct's cutoff date.
May 2024
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Outputs Comparison
Key Takeaways
GPT-5 nano
View detailsOpenAI
Qwen3-Coder 480B A35B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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