Model Comparison
GPT-4o mini vs QwQ-32B
QwQ-32B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini 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
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o mini supports multimodal inputs, whereas QwQ-32B does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
QwQ-32B
License
Usage and distribution terms
GPT-4o mini 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 mini was released on 2024-07-18, while QwQ-32B was released on 2025-03-05.
QwQ-32B is 8 months newer than GPT-4o mini.
Jul 18, 2024
1.7 years ago
Mar 5, 2025
1.1 years ago
7mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a knowledge cutoff of 2023-10-01, 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-4o mini (2023-10-01).
Oct 2023
Nov 2024
1.1 yr newerOutputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
QwQ-32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4o mini vs QwQ-32B