Comprehensive side-by-side LLM comparison
Qwen2.5-VL 32B Instruct leads with 10.8% higher average benchmark score. Overall, Qwen2.5-VL 32B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-Omni-7B is a 7-billion-parameter end-to-end multimodal model from Alibaba, released in March 2025 as part of the Omni series designed to unify perception and generation across text, images, audio, and video in a single model architecture. Unlike pipeline-based multimodal systems, it processes all modalities end-to-end and can generate both text and speech outputs, targeting use cases in voice assistants, multimodal agents, and real-time interactive applications. Its compact size made it notable for on-device and resource-constrained multimodal deployments.
Alibaba / Qwen
Qwen2.5-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
25 days newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
Average performance across 1 common benchmarks
Qwen2.5-Omni-7B
Qwen2.5-VL 32B Instruct
Performance comparison across key benchmark categories
Qwen2.5-Omni-7B
Qwen2.5-VL 32B Instruct
Available providers and their performance metrics
Qwen2.5-Omni-7B
Qwen2.5-VL 32B Instruct
Qwen2.5-Omni-7B
Qwen2.5-VL 32B Instruct