85% of enterprises have no automated controls to stop AI cost spikes (@gartner). Watching the bill climb isn’t FinOps. Kong sits in the AI traffic path, so it meters tokens and enforces budgets at runtime, before the invoice shows up.
Cloud FinOps tells you what you spent last month. An agent loop can spend it by lunch.
Real-time metering, attribution, and budget enforcement at the gateway: bit.ly/4sBRVn9
Calling a model provider directly means the service holds the provider's API key and builds its own traffic controls. Fine for one service, one model. Less fine as you grow.
Set up Kong AI Gateway, step by step: bit.ly/4eETw5L
How we decide when a frontier model is worth it for code review: model score = 100 × (F1 − review cost / V), with V the dollar value of going from F1 0 to F1 1. We run it at V=$1, $5, and $20.
In our own test, Opus comes out on top. It costs 7x more than GLM 5.3.
But we
