Controlling Reasoning Effort in LLMs

The article discusses how to develop a reasoning model that has multiple effort modes, similar to the GPT-5.6 model family, which comes in three sizes with roughly five or six reasoning-effort settings. The author explains how to implement reasoning effort modes in models like GPT-5.6 and others, and how to train reasoning-effort controls via supervised fine-tuning and reinforcement learning.