Qwen2.5 VL 72B Instruct vs Qwen2.5 VL 7B Instruct
Qwen2.5 VL 72B Instruct leads the LLM Stats Score 12.7 to 6.5.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 VL 72B Instruct leads the overall LLM Stats Score 12.7 to 6.5, ranking #250 overall.
In the 25 individual benchmarks reported for both models, Qwen2.5 VL 72B Instruct wins 24; 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 Qwen2.5 VL 72B Instruct
- overall performance matters — it scores 12.7 and ranks #250 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 24 of 25 exact shared results
Choose Qwen2.5 VL 7B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
30 reported for Qwen2.5 VL 72B Instruct · 32 for Qwen2.5 VL 7B Instruct
Qwen2.5 VL 72B Instruct outperforms in 24 benchmarks (AITZ_EM, Android Control High_EM, Android Control Low_EM, AndroidWorld_SR, CC-OCR, ChartQA, DocVQA, Hallusion Bench, LVBench, MathVision, MathVista-Mini, MMBench, MMBench-Video, MMMU, MMMU-Pro, MMStar, MMVet, MVBench, OCRBench, PerceptionTest, ScreenSpot, ScreenSpot Pro, TempCompass, VideoMME w/o sub.), while Qwen2.5 VL 7B Instruct is better at 1 benchmark (MobileMiniWob++_SR).
Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 VL 72B Instruct has 63.7B more parameters than Qwen2.5 VL 7B Instruct, making it 768.5% larger.
Input capabilities
Documented input modalities across available providers
Both Qwen2.5 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.
Qwen2.5 VL 72B Instruct
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
Qwen2.5 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
Both models were released on 2025-01-26.
They likely represent similar generations of model development.
Jan 26, 2025
1.6 years ago
Jan 26, 2025
1.6 years ago
Knowledge 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 Qwen2.5 VL 72B Instruct and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5 VL 72B Instruct vs Qwen2.5 VL 7B Instruct.