GPT-5.6 Solの5つの推論レベルを整理――どのタスクにどれが最適か
OpenAIのVaibhav Srivastav氏が、GPT-5.6 Solの'light'から'ultra'までの5つの推論レベルのうち、どれがどのタスクの複雑さに適するかを明らかにした。このガイダンスにより、ユーザーは精度とトークンコストのバランスを取りやすくなる。
openai's vaibhav srivastav released a guide for the new gpt-5.6 sol model, explaining that its 'light' and 'low' levels suit quick tasks, while 'medium', 'high', and 'xhigh' are designed for increasing complexity and verification needs. the 'max' setting extends compute time for single problems, whereas 'ultra' deploys multiple sub-agents in parallel to tackle different parts of a task simultaneously. higher levels significantly increase token usage, leading srivastav to recommend starting at lower settings and scaling up only when necessary. this system introduces complexity contrary to openai's goal of a 'no interface' experience, requiring users to carefully benchmark to find the optimal cost-to-quality ratio.