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

Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.

Qwen2-VL-72B-Instruct
Alibaba
2024-08-29

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26
5 months newer
Average performance across 6 common benchmarks

Qwen2-VL-72B-Instruct

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

Qwen2-VL-72B-Instruct

Qwen2.5 VL 72B Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics

Qwen2-VL-72B-Instruct

Qwen2.5 VL 72B Instruct

Qwen2-VL-72B-Instruct

Qwen2.5 VL 72B Instruct