Core Viewpoint - The GLM-4.1V-9B-Thinking model represents a significant leap from perception to cognition in the GLM series of visual models, showcasing advanced capabilities in multi-modal reasoning and understanding [1][5]. Model Performance - GLM-4.1V-9B-Thinking has achieved the top position on HuggingFace Trending, leveraging its 9 billion parameters to excel in various tasks [2]. - The model has outperformed larger models, achieving the best results in 23 out of 28 authoritative evaluations, including MMStar and MMMU-Pro, demonstrating the potential of smaller models [4]. Multi-Modal Capabilities - The model supports a wide range of multi-modal inputs, including images, videos, and documents, and is designed for complex cognitive tasks [4]. - Key capabilities include: - Video understanding: Analyzing up to two hours of video content for time, characters, events, and logical relationships [4]. - Image question answering: Deep analysis and reasoning about content within images [5]. - Subject problem-solving: Providing detailed reasoning for problems in subjects like mathematics and science [5]. - Text recognition: Accurate extraction and structuring of text and charts from images and videos [5]. - Document interpretation: Understanding and extracting information from documents in finance, government, and education [5]. - Grounding: Identifying specific areas in images and extracting coordinates for downstream tasks [5]. - GUI agent capabilities: Recognizing and interacting with elements on web and mobile interfaces [5]. - Code generation: Automatically writing front-end code based on input image text [5].