Stop Paying for AI Tasks a Free Model Can Handle

#openclaw #llm #ai #productivity

Hot take: you are probably paying for 60% of your AI tasks that a free model handles just as well.

I tracked my usage for a month. File reads, grep, simple refactors, test boilerplate, basic Q&A — all running through Claude Sonnet at $15 per million tokens.

Then I found a routing gateway that offers free unlimited MiniMax M2.7 calls. No credit card, no cap. I started routing all my simple tasks there.

The Split

Free (MiniMax M2.7): file reads, grep, formatting, simple Q&A, test templates — ~60% of daily tasks
Paid (Claude Sonnet): architecture decisions, complex debugging, multi-file refactors — ~40% of daily tasks

My Claude bill dropped by more than half because I stopped burning premium tokens on tasks that any decent model handles fine.

Is MiniMax Actually Good Enough?

For routine tasks? Yes. It is not going to design your system architecture. But it reads files, generates basic tests, formats code, and answers simple questions at acceptable quality.

Think of it this way: you do not hire a senior engineer to make coffee. Same principle.