Notion AI getting Gemini 3 Pro and GPT-5.2 with model selection changes the quality ceiling depending on your task
The model selection being available within Notion's interface rather than requiring you to switch tools is the workflow integration that matters practically. Writing a technical specification in Notion using GPT-5.2 for its coding context, then summarising a research paper using Gemini 3 Pro for its document analysis strength, without leaving Notion is a different writing environment from one with a single fixed model.
The Auto mode selecting the best model for the task being available alongside manual selection is the right design: most of the time Auto is sufficient, and manual selection is available for the cases where you know a specific model is better for your current task type.
The Q&A feature answering questions about pages and databases in your workspace using AI is the knowledge retrieval layer that changes Notion from a content creation and storage tool to one that actively surfaces the knowledge you have stored.
The draft generation, summarisation and translation capabilities being available across the workspace rather than only in specific document types is the ambient AI assistance that changes how often you would actually reach for the features.
Which model are you most frequently selecting in Notion AI and for what category of task?