Model Comparison
GPT-5 vs Qwen2-VL-72B-Instruct
GPT-5 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 outperforms in 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 0 benchmarks.
GPT-5 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 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-5 and Qwen2-VL-72B-Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
GPT-5 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 was released on 2025-08-07, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
GPT-5 is 11 months newer than Qwen2-VL-72B-Instruct.
Aug 7, 2025
8 months ago
11mo newerAug 29, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
GPT-5 has a knowledge cutoff of 2024-09-30, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.
GPT-5 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
View detailsOpenAI
Qwen2-VL-72B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5 vs Qwen2-VL-72B-Instruct