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It doesn't work well in practice. Try it yourself, use a big model like Opus or Sol to implement everything by first making a plan using plan mode. Then try d
by faangguyindia 1mo ago
It doesn't work well in practice.
Try it yourself, use a big model like Opus or Sol to implement everything by first making a plan using plan mode.
Then try distributing the task to a cheaper models like Luna Max or Gemini Flash 3.8.
During planning, the big model already reads the relevant files in context, while giving a smaller model a slice of work itself requires the big model to reason about the task distribution, review, etc.
So do you really save on tokens?
- skybrian 1mo agoMaybe not, but I like to review the plan anyway so that I'm less surprised by what it actually did.
- klodolph 1mo ago> Try it yourself, use a big model like Opus or Sol to implement everything by first making a plan using plan mode. When I do this, I can have it use cheap subagents with models like Luna to read the relevant files.
- majormajor 1mo agoWhen I've tried it using API-rate billing I've saved on $$ on the tasks where I split planning+execution into Sol+Terra or Terra+Luna even. I wasn't paying attention to the token count, I was paying attention to the spend.