What we learned tracking cost across four LLM providers

Every provider bills differently. Some charge separately for input and output tokens. Some bundle embedding calls into a flat per-request rate. Vision requests, cached prompts, and tool-call turns each carry their own multipliers depending on which API you're calling.

None of that complexity should be finance's problem. AI Monitoring normalizes every call — regardless of provider or model — down to a single cost figure at the point it's recorded, using each provider's actual published rate card at the time of the call, not a static average.

The payoff shows up in the cost-by-model view: a stacked comparison across every provider your organization uses, in the same currency, updated in real time, so a finance conversation about AI spend doesn't start with someone manually reconciling four separate billing dashboards.