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

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.

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.

QvQ-72B-Preview
Alibaba
2024-12-25

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26
1 month newer
Average performance across 2 common benchmarks

QvQ-72B-Preview

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories

QvQ-72B-Preview

Qwen2.5 VL 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

QvQ-72B-Preview

Qwen2.5 VL 72B Instruct

QvQ-72B-Preview

Qwen2.5 VL 72B Instruct