Qwen2-VL-72B-Instruct vs Qwen2.5 VL 7B Instruct
Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.5 to 6.8.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.5 to 6.8, ranking #224 overall.
In the 7 individual benchmarks reported for both models, Qwen2-VL-72B-Instruct wins 7; 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
- overall performance matters — it scores 14.5 and ranks #224 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 7 of 7 exact shared results
Choose Qwen2.5 VL 7B Instruct
- you want the most recent training data — it shipped Jan 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 · 32 for Qwen2.5 VL 7B Instruct
Qwen2-VL-72B-Instruct outperforms in 7 benchmarks (ChartQA, MathVista-Mini, MMBench, MMMU-Pro, MVBench, OCRBench, TextVQA), while Qwen2.5 VL 7B Instruct is better at 0 benchmarks.
Qwen2-VL-72B-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 65.1B more parameters than Qwen2.5 VL 7B Instruct, making it 785.4% larger.
Input capabilities
Documented input modalities across available providers
Both Qwen2-VL-72B-Instruct and Qwen2.5 VL 7B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen2-VL-72B-Instruct
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
Qwen2-VL-72B-Instruct is licensed under tongyi-qianwen, while Qwen2.5 VL 7B 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 Qwen2.5 VL 7B Instruct was released on 2025-01-26.
Qwen2.5 VL 7B Instruct is 5 months newer than Qwen2-VL-72B-Instruct.
Aug 29, 2024
2.0 years ago
Jan 26, 2025
1.6 years ago
5mo newerKnowledge Cutoff
When training data ends
Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Qwen2.5 VL 7B 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 Qwen2.5 VL 7B Instruct's cutoff date.
Jun 2023
—
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen2-VL-72B-Instruct and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2-VL-72B-Instruct vs Qwen2.5 VL 7B Instruct.