Model Comparison
GPT-4o vs QwQ-32B
QwQ-32B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 0 benchmarks, while QwQ-32B is better at 1 benchmark (GPQA).
QwQ-32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas QwQ-32B does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
QwQ-32B
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-05-13, while QwQ-32B was released on 2025-03-05.
QwQ-32B is 10 months newer than GPT-4o.
May 13, 2024
2.0 years ago
Mar 5, 2025
1.2 years ago
9mo newerKnowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while GPT-4o's cutoff date is not specified.
We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without GPT-4o's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
GPT-4o
QwQ-32BDetailed Comparison
FAQ
Common questions about GPT-4o vs QwQ-32B.