GPT-4o vs QvQ-72B-Preview Comparison
Comparing GPT-4o and QvQ-72B-Preview across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 1 benchmarks (MMMU), while QvQ-72B-Preview is better at 1 benchmark (MathVista).
Both models are evenly matched across the 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 QvQ-72B-Preview support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
QvQ-72B-Preview
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-08-06, while QvQ-72B-Preview was released on 2024-12-25.
QvQ-72B-Preview is 5 months newer than GPT-4o.
Aug 6, 2024
1.6 years ago
Dec 25, 2024
1.2 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
QvQ-72B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|