Stop Renting Intelligence: Why Per-Token AI Pricing Is Dying
I pay $1,200 a year for my AI assistant’s brain. No usage meters, no per-token charges, no surprise bills.
A year ago that sounded impossible. You rented intelligence by the token. Input tokens, output tokens, cache tokens, each priced separately like a phone bill designed by a casino.
Three things changed.
Open models caught up. The model running my business comes from a lab most people haven’t heard of. Email triage, WordPress publishing, data analysis, course management, ad optimization, social scheduling. I switched from a premium per-token plan in June. Haven’t noticed a quality drop.
Local inference got practical. A 12-billion-parameter model from Google runs on a standard laptop and matches what required a server rack last year. Free and open-source.
Per-token economics flipped. When capable intelligence costs nothing to run, companies charging premium rates for marginal advantages start looking like landlines.
I’m writing this from a train somewhere between Banff and Calgary. The server at home doesn’t care.
OpenClaw is a self-hosted AI assistant that lives on your server and connects to your tools, your APIs, and your files. It runs on whatever model you point it at.
I teach two classes on setting up and getting the most from OpenClaw at AI Partner School.
