Hunyuan-Vision-1.5-Thinking is a multimodal large language model developed by Tencent, designed for advanced visual understanding and reasoning. It is part of the Hunyuan-Vision-1.5 series and incorporates a "thinking on images" paradigm, which allows the model to perform deeper visual reflection and multi-step reasoning before generating a final response. This reasoning process can include internal actions such as zooming into specific image regions, cropping, and drawing points or boxes to better analyze visual details.
The model is built on a novel mamba-transformer hybrid architecture, which combines the efficient sequence processing of Mamba with the powerful attention mechanisms of Transformers. This architecture enables the model to handle complex multimodal tasks, including high-resolution image analysis, video understanding, and long-context visual question answering, while maintaining inference efficiency. In benchmarks like the LMSYS Chatbot Arena (Vision), the thinking-enabled version has demonstrated high performance in comparison to other leading vision-language models.
Hunyuan-Vision-1.5-Thinking supports a range of specialized visual tasks such as OCR, diagram interpretation, and 3D spatial comprehension. It also features a "visual reflection" mechanism that allows it to refine its perception through iterative analysis, reducing hallucinations in complex scenes. The model is typically released in several scales, including a larger MoE (Mixture of Experts) version and more compact dense variants to accommodate different computational requirements.