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-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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 2025, it represents Alibaba's latest advancement in AI technology.

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

Qwen2.5-Omni-7B
Alibaba
2025-03-27
7 months newer
Average performance across 6 common benchmarks

Qwen2-VL-72B-Instruct

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

Qwen2-VL-72B-Instruct

Qwen2.5-Omni-7B
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics

Qwen2-VL-72B-Instruct

Qwen2.5-Omni-7B

Qwen2-VL-72B-Instruct

Qwen2.5-Omni-7B