GPT-4o vs Qwen3 VL 32B Instruct
Qwen3 VL 32B Instruct leads the LLM Stats Score 20.4 to 11.6.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 32B Instruct leads the overall LLM Stats Score 20.4 to 11.6, ranking #193 overall.
In the 3 individual benchmarks reported for both models, Qwen3 VL 32B Instruct wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, 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 Instruct
- overall performance matters — it scores 20.4 and ranks #193 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-4o · 45 for Qwen3 VL 32B Instruct
GPT-4o outperforms in 1 benchmarks (MMLU), while Qwen3 VL 32B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3 VL 32B Instruct shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground 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
Documented input modalities across available providers
Both GPT-4o and Qwen3 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Qwen3 VL 32B Instruct
License
Usage and distribution terms
GPT-4o 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-4o was released on 2024-05-13, while Qwen3 VL 32B Instruct was released on 2025-09-22.
Qwen3 VL 32B Instruct 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 Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Qwen3 VL 32B Instruct.