Model Comparison
GPT-4o vs Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 2 benchmarks (ChartQA, EgoSchema).
Qwen2-VL-72B-Instruct shows notably better performance in the majority of 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-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-4o and Qwen2-VL-72B-Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen2-VL-72B-Instruct
License
Usage and distribution terms
GPT-4o 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-4o was released on 2024-08-06, while Qwen2-VL-72B-Instruct was released on 2024-08-29.
Qwen2-VL-72B-Instruct is 1 month newer than GPT-4o.
Aug 6, 2024
1.7 years ago
Aug 29, 2024
1.6 years ago
3w newerKnowledge Cutoff
When training data ends
Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while GPT-4o's cutoff date is not specified.
We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without GPT-4o's cutoff date.
—
Jun 2023
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
Qwen2-VL-72B-Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about GPT-4o vs Qwen2-VL-72B-Instruct