Model Comparison

Qwen2-VL-72B-Instruct vs Qwen2.5 VL 7B Instruct

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

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

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.

Fri Jun 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

65.1B diff

Qwen2-VL-72B-Instruct has 65.1B more parameters than Qwen2.5 VL 7B Instruct, making it 785.4% larger.

Qwen2-VL-72B-Instruct

73.4Bparameters

Qwen2.5 VL 7B Instruct

8.3Bparameters

73.4B

Qwen2-VL-72B-Instruct

8.3B

Qwen2.5 VL 7B Instruct

Input Capabilities

Supported data types and modalities

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

Text

Images

Audio

Video

Qwen2.5 VL 7B Instruct

Text

Images

Audio

Video

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.

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Qwen2.5 VL 7B Instruct

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.

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.8 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.4 years ago

5mo newer

Knowledge 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.

Qwen2-VL-72B-Instruct

Jun 2023

Qwen2.5 VL 7B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Higher ChartQA score (88.3% vs 87.3%)

Higher MathVista-Mini score (70.5% vs 68.2%)

Higher MMBench score (86.5% vs 84.3%)

Higher MMMU-Pro score (46.2% vs 38.3%)

Higher MVBench score (73.6% vs 69.6%)

Higher OCRBench score (87.7% vs 86.4%)

Higher TextVQA score (85.5% vs 84.9%)

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature	Qwen2-VL-72B-Instruct	Qwen2.5 VL 7B Instruct

FAQ

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

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

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks. Qwen2-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-VL-72B-Instruct compare to Qwen2.5 VL 7B Instruct in benchmarks?

Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%. 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-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.