GPT-5 High vs QwQ-32B Comparison
Comparing GPT-5 High and QwQ-32B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 High outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 0 benchmarks.
GPT-5 High significantly outperforms across most 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-5 High specifies input context (400,000 tokens). Only GPT-5 High specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
GPT-5 High supports multimodal inputs, whereas QwQ-32B does not.
GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 High
QwQ-32B
License
Usage and distribution terms
GPT-5 High 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-5 High was released on 2025-08-07, while QwQ-32B was released on 2025-03-05.
GPT-5 High is 5 months newer than QwQ-32B.
Aug 7, 2025
7 months ago
5mo newerMar 5, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
GPT-5 High has a knowledge cutoff of 2024-09-30, while QwQ-32B has a cutoff of 2024-11-28.
QwQ-32B has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to GPT-5 High (2024-09-30).
Sep 2024
Nov 2024
2 mo newerOutputs Comparison
Key Takeaways
GPT-5 High
View detailsOpenAI
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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