IBM has released its Granite 3.2 large language model family featuring a new approach called conditional reasoning. According to Sean Michael Kerner of VentureBeat, this update embeds reasoning capabilities directly into core models rather than creating separate reasoning models. The system allows users to activate reasoning only when needed, improving efficiency for complex tasks. Granite 3.2 also includes specialized document vision capabilities to help enterprises digitize legacy documents and time series forecasting models for predictive analytics. “Reasoning is not something a model is, it’s something a model does,” said David Cox, VP for AI models at IBM Research. The company claims its practical, enterprise-focused approach outperforms competitors on instruction-following tasks while addressing real business challenges rather than chasing benchmark scores.