OpenAI Details Task Complexity Mapping for GPT-5.6 Sol's Reasoning Levels

OpenAI’s Vaibhav Srivastav has detailed the mapping of task complexity to the five reasoning levels of GPT-5.6 Sol, ranging from “Light” to “xhigh.” The model operates in two modes: “Max” and “Ultra,” which deploy multiple sub-agents in parallel to enhance processing capabilities. Srivastav emphasized a strategy of “starting low and only scaling up when needed” to optimize performance. This development provides practitioners with a clearer framework for selecting the appropriate reasoning level based on task complexity, potentially improving efficiency in AI applications. This follows OpenAI’s ongoing efforts to refine its models for better usability in various contexts, as seen in recent announcements regarding GPT-5.6 Sol’s performance metrics. For further details, visit The Decoder.