I’m testing DeepSeek on problems that need several steps of reasoning, and I’m trying to find a sensible balance between response time and a thorough answer. Giving a model more room to think may help on some tasks, but it can also make simple requests slower or more expensive.

How do you set a DeepSeek reasoning token budget for your workload? Do you use one limit for everything, or adjust it based on whether the task is code review, planning, or a straightforward question?