GPT-4 vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct leads the LLM Stats Score 9.7 to 3.0.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 VL 32B Instruct leads the overall LLM Stats Score 9.7 to 3.0, ranking #268 overall.
In the 4 individual benchmarks reported for both models, Qwen2.5 VL 32B Instruct wins 3; 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-4
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose Qwen2.5 VL 32B Instruct
- overall performance matters — it scores 9.7 and ranks #268 on LLM Stats
- your work emphasizes coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you want the most recent training data — it shipped Feb 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
12 reported for GPT-4 · 28 for Qwen2.5 VL 32B Instruct
GPT-4 outperforms in 1 benchmarks (MMLU), while Qwen2.5 VL 32B Instruct is better at 3 benchmarks (GPQA, HumanEval, MATH).
Qwen2.5 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-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-4 and Qwen2.5 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Qwen2.5 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-4 was released on 2023-06-13, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 21 months newer than GPT-4.
Jun 13, 2023
3.3 years ago
Feb 28, 2025
1.5 years ago
1.7yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.
Dec 2022
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Qwen2.5 VL 32B Instruct.