Most AI coding cost advice starts with the model menu.
Use the cheaper model. Switch providers. Check the invoice later.
That matters, but it misses the part that actually changes developer behavior: visibility while the work is happening.
When I am deep in a Claude Code, Codex, or Cursor session, the expensive part rarely feels expensive in the moment. It feels like momentum.
One more prompt.
One more file.
One more agent loop because it almost worked.
By the time the bill, usage page, or limit warning shows up, the decision already happened.
A better workflow is boring but useful:
- Check usage before starting a vague refactor
- Watch reset windows before long agent sessions
- Notice when a prompt is getting bigger just because copying is easy
- Treat repeated loops as a signal to stop and read the code yourself
- Keep the usage number visible enough that it can interrupt autopilot
The point is not to make AI coding feel stressful.
The point is to make hidden spend visible at the moment it can still change what you do next.
That is why I built TokenBar. It is a Mac menu bar app that keeps AI coding usage, limits, and reset windows visible while you work, instead of making you hunt for them after the session is over.
It is free to try, and TokenBar Pro is $15 lifetime:
The practical question is not only "which model is cheapest?"
It is "when do I notice that this session is drifting?"
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