Model Comparison
GPT-4o mini vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o mini outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (GPQA, MMLU).
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
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
Both GPT-4o mini and Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o mini
Qwen3 VL 32B Thinking
License
Usage and distribution terms
GPT-4o mini is licensed under a proprietary license, while Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 14 months newer than GPT-4o mini.
Jul 18, 2024
1.9 years ago
Sep 22, 2025
8 months ago
1.2yr newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.
Oct 2023
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Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
Qwen3 VL 32B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4o mini vs Qwen3 VL 32B Thinking.