Why I use cheaper models for summaries (a lot ogf gemini-2.5-flash), what’s the use case of cheaper AI for coding? Getting more errors, or more spaghetti code, seems never worth it.
I feel like if I just do a better job of providing context and breaking complex tasks into a series of simple tasks then most of the models are good enough for me to code.
I'm using the smaller models for things like searching and summarizing over a larger part of the codebase. The speed is really pleasant then.
If it’s fast enough it can make and correct mistakes faster, potentially getting to a solution quicker than a slower, more accurate model.