Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Qwen2.5 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 32B Instruct
Alibaba
2025-02-28
Qwen2.5-Omni-7B
Alibaba
2025-03-27
27 days newer
Average performance across 11 common benchmarks
Qwen2.5 VL 32B Instruct
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Qwen2.5 VL 32B Instruct
Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics
Qwen2.5 VL 32B Instruct
Qwen2.5-Omni-7B
Qwen2.5 VL 32B Instruct
Qwen2.5-Omni-7B