Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

1 month newer

Average performance across 2 common benchmarks

Alibaba

QvQ-72B-Preview

Average Score:53.1%
Alibaba

Qwen2.5 VL 72B Instruct

+1.1%
Average Score:54.1%

Performance comparison across key benchmark categories

Alibaba

QvQ-72B-Preview

vision
+11.7%
70.3%
general
20.4%
math
53.6%
Alibaba

Qwen2.5 VL 72B Instruct

vision
58.6%
general
+49.2%
69.6%
math
+2.8%
56.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

QvQ-72B-Preview

0 providers
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
Alibaba

QvQ-72B-Preview

Avg Score:53.1%
Providers:0
Alibaba

Qwen2.5 VL 72B Instruct

+1.1%
Avg Score:54.1%
Providers:0