Model Comparison
GPT-5 Codex vs Qwen2-VL-72B-Instruct
Comparing GPT-5 Codex and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 Codex 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
Input Capabilities
Supported data types and modalities
Qwen2-VL-72B-Instruct supports multimodal inputs, whereas GPT-5 Codex does not.
Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 Codex
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
GPT-5 Codex 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 Codex was released on 2025-09-15, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
GPT-5 Codex is 13 months newer than Qwen2-VL-72B-Instruct.
Sep 15, 2025
8 months ago
1.0yr newerAug 29, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-5 Codex has a knowledge cutoff of 2024-09-30, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.
GPT-5 Codex 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 Codex
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Qwen2-VL-72B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-5 Codex vs Qwen2-VL-72B-Instruct.