GPT-4o vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4o outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-4o
- you want predictable pricing at $2.50/M input and $10.00/M output
Choose Qwen3 VL 32B Thinking
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
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
Both GPT-4o and Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen3 VL 32B Thinking
License
Usage and distribution terms
GPT-4o 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 was released on 2024-05-13, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 17 months newer than GPT-4o.
May 13, 2024
2.3 years ago
Sep 22, 2025
11 months ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Qwen3 VL 32B Thinking.