IBM Granite 3.2 uses conditional reasoning, time series forecasting and document vision to tackle challenging enterprise use cases

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model (LLM) family. Unlike other reasoning approaches such as DeepSeek-R1 or OpenAI’s o3, IBM is deeply embedding reasoning into its core open-source Granite models. It’s an approach that IBM refers to as conditional reasoning, where the step-by-step chain of thought (CoT) reasoning is an option within the models (as opposed to being a separate model). It’s a flexible approach where reasoning can be conditionally activated with a flag, allowing users to control when to use more intensive processing. The new reasoning capability builds on the performance gains IBM introduced with the release of the Granite 3.1 LLMs in Dec. 2024. IBM is also releasing a new vision model ... Read full article.