Comment by wahnfrieden

My use cases are iterative and sometimes require reading a lot of code or reevaluating work.

Token efficiency is near meaningless when the workload is input-heavy. It can't always just choose to read less, depending on the task.

I can have cheaper agents do the reading but it's not appropriate for all use cases because they'll misjudge and choose the wrong things to emphasize, summarize, extract for the bigger model.