In my experience, G2.5P can handle so much more context and giving an awesome execution plan that is implemented by CC so much better than anything G2.5P will come up with. So; I give G2.5P the relevant code and data underneath and ask it to develop an execution plan and then I feed that result to CC to do the actual code writing.
This has been outstanding for what I have been developing AI assisted as of late.
I would believe this. In regular conversational use with the Gemini family of models, I've noticed they regularly have issues with context blending.. i.e. confusing what you said and they said and causality.
I would think this would manifest as poor plan execution. I personally haven't used Gemini on coding tasks primarily based on my conversational experience with them.
This has been outstanding for what I have been developing AI assisted as of late.