Model Comparison
GPT-5 nano vs Qwen2 72B Instruct
GPT-5 nano significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 nano outperforms in 1 benchmarks (GPQA), while Qwen2 72B Instruct is better at 0 benchmarks.
GPT-5 nano 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 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 Qwen2 72B 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
Qwen2 72B Instruct
License
Usage and distribution terms
GPT-5 nano is licensed under a proprietary license, while Qwen2 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
GPT-5 nano was released on 2025-08-07, while Qwen2 72B Instruct was released on 2024-07-23.
GPT-5 nano is 13 months newer than Qwen2 72B Instruct.
Aug 7, 2025
8 months ago
1.0yr newerJul 23, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen2 72B 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 Qwen2 72B Instruct's cutoff date.
May 2024
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Outputs Comparison
Key Takeaways
GPT-5 nano
View detailsOpenAI
Qwen2 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5 nano vs Qwen2 72B Instruct