Chinese researchers have introduced LLaVA-o1, a new model designed to compete with OpenAI's o1 model in the field of visual language processing. This model aims to enhance the reasoning capabilities of Vision Language Models (VLMs) by employing a structured, multi-stage reasoning approach. The LLaVA-o1 model facilitates machines in performing step-by-step analysis of images, addressing the challenges associated with systematic reasoning in visual contexts. Concurrently, other research efforts are exploring long-chain visual reasoning and multimodal autoregressive pre-training techniques, indicating a growing interest in advancing multimodal large language models and their reasoning capabilities.