How to Audit Your OpenAI or Anthropic Bill (and Cut It)

The fastest way to lower an AI bill is not to switch models on a hunch, it is to look at what you actually spent and where it went. Most teams skip this because it feels like a chore: export the logs, match each model name to its current rate, do the token math, then imagine the alternatives. The bill auditor does all of that in a few seconds, and it runs entirely in your browser, so a usage export with sensitive prompt volumes never touches a server.

The workflow, start to finish

The workflow is simple. Export your usage from the provider (OpenAI, Anthropic, or OpenRouter), then drop the CSV or JSON into the auditor or paste a few rows. It parses your real token counts per model, prices what you spent, and re-prices the exact same usage across every major model so you can see where you are overpaying. It then highlights a short list of like-for-like alternatives: models at or above your current capability tier that cost less, so the savings are real and not a quiet downgrade.

Two caveats that keep it honest

Two honest caveats keep the numbers trustworthy. First, it compares cost, not quality: a cheaper model may not match your current output, so validate before switching. Second, the deeper cuts (batch pricing, prompt caching) assume you can restructure work to use them. Even with those caveats, most first audits surface a number that surprises the finance side of the house, and every figure is checkable against the provider's own pricing page.