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Smart Spectrum Visual Reasoning Model GLM-4.5V is online and open source, claiming to be "the world's best at 100B".
August 12 news, Wisdom Spectrum AI today launched the world's 100B level of the best open source visual inference model GLM-4.5V (total parameters 106B, activation parameters 12B), and synchronized in the magic ride community and Hugging Face open source. In addition, the API call price is as low as 2 yuan / M tokens for input and 6 yuan / M tokens for output. 1AI learned from the official introduction that GLM-4.5V is based on the new generation of Wisdom Spectrum's flagship text base model, GLM-4.5-Air, which is a continuation of the GLM-4.5 model, and the GLM-4.5 model, which is a new generation of the GLM-4.5 model, is a new generation of the Wisdom Spectrum.- 2.9k
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Ali Tongyi Qianqian Launches Visual Reasoning Model QVQ-Max: Analyzes, Reasons About Image and Video Content
March 28th news, early this morning, Ali Tongyi Qianqi team announced the launch of a new generation of visual reasoning model QVQ-Max. According to the official introduction, QVQ-Max is not only able to understand the picture and video content, but also can provide analysis and reasoning for the above information. In addition to analyzing and reasoning, QVQ-Max can also design illustrations, generate short video scripts, and even create role-playing content according to users' needs. Core Capabilities: From Observation to Reasoning The capabilities of QVQ-Max can be summarized in three areas: detailed observation, in-depth reasoning and flexible application. Here are the respective...- 3.4k
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Ali Tongyi Thousand Questions Open Source Visual Reasoning Model QVQ-72B-Preview: Think Like a Physicist
Ali Tongyi Qwen team released a blog post today (December 25th), announcing the launch of QVQ-72B-Preview, an open source visual reasoning model based on the Qwen2-VL-72B build, which is capable of finding solutions through logical reasoning calmly in the face of complex physics problems like a master of physics. Ali Tongyi Thousand Questions team evaluates QVQ-72B-Preview on 4 datasets, and 1AI attaches the relevant introduction as follows: MMMU: A university-level multidisciplinary and multimodal evaluation set designed to examine the model visual...- 4.2k
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