GPT-4 Turbo vs Qwen2-VL-72B-Instruct Comparison
Comparing GPT-4 Turbo and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo 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-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
Qwen2-VL-72B-Instruct supports multimodal inputs, whereas GPT-4 Turbo does not.
Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
GPT-4 Turbo 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-4 Turbo was released on 2024-04-09, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
Qwen2-VL-72B-Instruct is 5 months newer than GPT-4 Turbo.
Apr 9, 2024
1.9 years ago
Aug 29, 2024
1.5 years ago
4mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a knowledge cutoff of 2023-12-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.
GPT-4 Turbo has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).
Dec 2023
6 mo newerJun 2023
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Qwen2-VL-72B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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