GPT-5 vs Qwen3 VL 32B Instruct Comparison
Comparing GPT-5 and Qwen3 VL 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 outperforms in 6 benchmarks (AIME 2025, CharXiv-R, ERQA, GPQA, MMLU, MMMU-Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks.
GPT-5 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 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both GPT-5 and Qwen3 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5
Qwen3 VL 32B Instruct
License
Usage and distribution terms
GPT-5 is licensed under a proprietary license, while Qwen3 VL 32B Instruct 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 was released on 2025-08-07, while Qwen3 VL 32B Instruct was released on 2025-09-22.
Qwen3 VL 32B Instruct is 2 months newer than GPT-5.
Aug 7, 2025
7 months ago
Sep 22, 2025
5 months ago
1mo newerKnowledge Cutoff
When training data ends
GPT-5 has a documented knowledge cutoff of 2024-09-30, while Qwen3 VL 32B Instruct's cutoff date is not specified.
We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.
Sep 2024
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Outputs Comparison
Key Takeaways
GPT-5
View detailsOpenAI
Qwen3 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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