Qwen2-VL-72B-Instruct vs Qwen3 VL 32B Instruct
Qwen2-VL-72B-Instruct and Qwen3 VL 32B Instruct are closely matched at 14.3 and 20.3 on the LLM Stats Score.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2-VL-72B-Instruct and Qwen3 VL 32B Instruct are closely matched on the overall LLM Stats Score at 14.3 and 20.3.
In the 7 individual benchmarks reported for both models, Qwen3 VL 32B Instruct wins 6; 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 Qwen2-VL-72B-Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Choose Qwen3 VL 32B Instruct
- you value its reported benchmark strengths — it wins 6 of 7 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Qwen2-VL-72B-Instruct · 45 for Qwen3 VL 32B Instruct
Qwen2-VL-72B-Instruct outperforms in 1 benchmarks (MVBench), while Qwen3 VL 32B Instruct is better at 6 benchmarks (DocVQAtest, InfoVQAtest, MathVista-Mini, MMMU-Pro, OCRBench, RealWorldQA).
Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2-VL-72B-Instruct has 40.4B more parameters than Qwen3 VL 32B Instruct, making it 122.4% larger.
Input capabilities
Documented input modalities across available providers
Both Qwen2-VL-72B-Instruct and Qwen3 VL 32B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen2-VL-72B-Instruct
Qwen3 VL 32B Instruct
License
Usage and distribution terms
Qwen2-VL-72B-Instruct is licensed under tongyi-qianwen, 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.
tongyi-qianwen
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen2-VL-72B-Instruct was released on 2024-08-29, while Qwen3 VL 32B Instruct was released on 2025-09-22.
Qwen3 VL 32B Instruct is 13 months newer than Qwen2-VL-72B-Instruct.
Aug 29, 2024
2.0 years ago
Sep 22, 2025
11 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Qwen3 VL 32B Instruct's cutoff date is not specified.
We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.
Jun 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen2-VL-72B-Instruct and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2-VL-72B-Instruct vs Qwen3 VL 32B Instruct.