Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Qwen2.5 VL 7B Instruct
Alibaba
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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.
Qwen2.5-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.
Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26
Qwen2.5-Omni-7B
Alibaba
2025-03-27
2 months newer
Average performance across 9 common benchmarks
Qwen2.5 VL 7B Instruct
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Qwen2.5 VL 7B Instruct
Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics
Qwen2.5 VL 7B Instruct
Qwen2.5-Omni-7B
Qwen2.5 VL 7B Instruct
Qwen2.5-Omni-7B