Model Comparison
GPT-5.1 vs Qwen2-VL-72B-Instruct
Comparing GPT-5.1 and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.1 and Qwen2-VL-72B-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
Both GPT-5.1 and Qwen2-VL-72B-Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.1
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
GPT-5.1 is licensed under a proprietary license, while Qwen2-VL-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-5.1 was released on 2025-11-13, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
GPT-5.1 is 15 months newer than Qwen2-VL-72B-Instruct.
Nov 13, 2025
5 months ago
1.2yr newerAug 29, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
GPT-5.1 has a knowledge cutoff of 2024-09-30, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.
GPT-5.1 has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).
Sep 2024
1.3 yr newerJun 2023
Outputs Comparison
Key Takeaways
GPT-5.1
View detailsOpenAI
Qwen2-VL-72B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5.1 vs Qwen2-VL-72B-Instruct