Model Comparison

Qwen2.5 VL 72B Instruct vs Qwen2.5 VL 7B InstructWhich is better in 2026?

Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.

Verdict: Qwen2.5 VL 72B Instruct vs Qwen2.5 VL 7B Instruct — which is better?

Qwen2.5 VL 72B Instruct (by Alibaba Cloud / Qwen Team) and Qwen2.5 VL 7B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

Choose Qwen2.5 VL 72B Instruct if…

  • you want the strongest raw capability — it leads on 24 of 25 shared benchmarks

Choose Qwen2.5 VL 7B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

25 benchmarks

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.

Wed Jul 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

63.7B diff

Qwen2.5 VL 72B Instruct has 63.7B more parameters than Qwen2.5 VL 7B Instruct, making it 768.5% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
72.0B
Qwen2.5 VL 72B Instruct
8.3B
Qwen2.5 VL 7B Instruct

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

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.

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Qwen2.5 VL 7B Instruct

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.

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.5 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Higher AITZ_EM score (83.2% vs 81.9%)
Higher Android Control High_EM score (67.4% vs 60.1%)
Higher Android Control Low_EM score (93.7% vs 91.4%)
Higher AndroidWorld_SR score (35.0% vs 25.5%)
Higher CC-OCR score (79.8% vs 77.8%)
Higher ChartQA score (89.5% vs 87.3%)
Higher DocVQA score (96.4% vs 95.7%)
Higher Hallusion Bench score (55.2% vs 52.9%)
Higher LVBench score (47.3% vs 45.3%)
Higher MathVision score (38.1% vs 25.1%)
Higher MathVista-Mini score (74.8% vs 68.2%)
Higher MMBench score (88.0% vs 84.3%)
Higher MMBench-Video score (2.0% vs 1.8%)
Higher MMMU score (70.2% vs 58.6%)
Higher MMMU-Pro score (51.1% vs 38.3%)
Higher MMStar score (70.8% vs 63.9%)
Higher MMVet score (76.2% vs 67.1%)
Higher MVBench score (70.4% vs 69.6%)
Higher OCRBench score (88.5% vs 86.4%)
Higher PerceptionTest score (73.2% vs 70.5%)
Higher ScreenSpot score (87.1% vs 84.7%)
Higher ScreenSpot Pro score (43.6% vs 29.0%)
Higher TempCompass score (74.8% vs 71.7%)
Higher VideoMME w/o sub. score (73.3% vs 65.1%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MobileMiniWob++_SR score (91.4% vs 68.0%)

Detailed Comparison

Interactive Arena

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.

Qwen2.5 VL 72B Instruct
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct

FAQ

Common questions about Qwen2.5 VL 72B Instruct vs Qwen2.5 VL 7B Instruct.

Which is better, Qwen2.5 VL 72B Instruct or Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks. Qwen2.5 VL 72B Instruct is made by Alibaba Cloud / Qwen Team and Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen2.5 VL 72B Instruct compare to Qwen2.5 VL 7B Instruct in benchmarks?

Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the main differences between Qwen2.5 VL 72B Instruct and Qwen2.5 VL 7B Instruct?

Key differences include licensing (tongyi-qianwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.