I delegate small-medium tasks: refactors, summaries, research, writing tests + have very good codebase already + extensive history / architecture / docs / linters. so it picks up and does decent small-medium scope work. it is fast, accurate, cheap. does exactly what I want directly and does not waste time nor tokens.
definitely not "implement me complex greenfield project".
Pro is ~50% more expensive than Flash.
Both need babysitting.
Plan, split in small tasks, give it docs, types, tests, linter, best practice examples, etc.
Always start a new session when starting a task.
Do regular manual sanity checks, and tell it to find issues in the codebase.
I pay like $1,50 per day for Pro.
If you believe the benchmarks Deepseek v4 is pretty shitty at long running work in large codebases, but really really good at self contained algorithmic/math reasoning - which is basically ideal for a compiler for a language with a relatively complex type system. And with its cache pricing it's very cheap.
GLM-5.2 is too expensive at api pricing for my taste though even when it's not producing the bulk of the output tokens - I pay for the mid-tier subscription and switch the orchestrator over to other models via open router when I run out - Minimax M3 feels okay but definitely a step down from GLM-5.2.
I would also add that I run it this way ~12hour a day non-stop. 300M / tokens per day (99.7% cache hit).