I propose enhancing the selector of AI models with more detailed information to help users select the most appropriate model for their tasks. This improvement should include: Reasoning capabilities: Specific strengths in logical thinking, problem-solving, and analysis. Supported input formats: List of file types the model can process (e.g., .txt, .pdf, .jpg, .png, .py). Output formats: File types the model can generate. Special features: Unique capabilities like code execution, image generation, data visualization, or access to current web content. Context window size: Maximum number of tokens the model can process. Multimodal abilities: Information on processing various media types (text, image, audio, video). Use cases: Specific examples of tasks for which each model is best suited. Model visibility customization: Option to hide unused, outdated, or unwanted models. Ability to keep only frequently used models visible. Easy tracking of new model additions by tagging or highlighting. This enhanced documentation could be presented as a comprehensive table or an interactive selection tool, improving user experience. This feature request includes suggestions from the post titled "Model Selection & Organization".