How to choose which model for Planning VS Implementing VS Review

A user with no coding background, new to agent automation, asks for advice on model selection for planning, implementation, and review phases. They understand that better models like Fable/Astra are used for detailed planning and review, while cheaper models handle implementation tasks with smaller boundaries and less token usage. The core question is which approach ultimately uses fewer tokens.

This discussion moves beyond theoretical model capabilities to practical token cost optimization across different phases of an agent's workflow, unlike typical comparisons focused solely on performance benchmarks.