Model Comparison
GPT-5.1 vs Qwen2.5-Coder 7B Instruct
Comparing GPT-5.1 and Qwen2.5-Coder 7B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.1 and Qwen2.5-Coder 7B 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-5.1 specifies input context (400,000 tokens). Only GPT-5.1 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5.1 supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.
GPT-5.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1
Qwen2.5-Coder 7B Instruct
License
Usage and distribution terms
GPT-5.1 is licensed under a proprietary license, while Qwen2.5-Coder 7B 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-5.1 was released on 2025-11-13, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.
GPT-5.1 is 14 months newer than Qwen2.5-Coder 7B Instruct.
Nov 13, 2025
5 months ago
1.2yr newerSep 19, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
GPT-5.1 has a documented knowledge cutoff of 2024-09-30, while Qwen2.5-Coder 7B Instruct's cutoff date is not specified.
We can confirm GPT-5.1's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen2.5-Coder 7B Instruct's cutoff date.
Sep 2024
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Outputs Comparison
Key Takeaways
GPT-5.1
View detailsOpenAI
Qwen2.5-Coder 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5.1 vs Qwen2.5-Coder 7B Instruct