Model Comparison

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

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

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Qwen2-VL-72B-Instruct outperforms in 6 benchmarks (ChartQA, MathVista-Mini, 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.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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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.

Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
Alibaba Cloud / Qwen Team
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

1.6 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.2 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

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Key Takeaways

Alibaba Cloud / Qwen Team

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 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%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct

FAQ

Common questions about Qwen2-VL-72B-Instruct vs 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.
Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 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%.
Key differences include licensing (tongyi-qianwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.