The Complete Guide to Usage-Based Billing
Everything you need to know about metered billing — from pricing model design to implementation patterns for AI companies.
Usage-based billing — also known as metered billing — charges customers based on their actual consumption rather than a flat monthly fee. This model has exploded in popularity with the rise of AI companies, cloud infrastructure, and API-first products.
The core idea is simple: instead of paying $99/month regardless of usage, a customer pays for exactly what they consume. If they use 50,000 tokens, they pay for 50,000 tokens. If they make 10,000 API calls, they pay for 10,000 API calls.
Implementing metered billing requires three components: (1) a usage metering system that tracks consumption in real-time, (2) a pricing engine that applies the correct rate (flat, tiered, or volume-based), and (3) a billing system that invoices customers and collects payment.
Orvlin handles all three. You report usage via our ingestion API, configure your pricing tiers in the dashboard, and we handle invoicing, payment collection, and customer notifications automatically.
The biggest advantage of usage-based billing is alignment: customers only pay for value received. This reduces churn, increases trust, and enables customers to start small and scale naturally.
Frequently asked questions
What is usage-based billing?
Usage-based billing (metered billing) charges customers for exactly what they consume — tokens, API calls, compute time, or any custom metric — instead of a flat recurring fee.
How do you implement metered billing?
You need a metering system that tracks consumption in real time, a pricing engine that applies tiers or volume rates, and a billing system that invoices and collects. Orvlin provides all three through a single API.
Is usage-based billing good for AI companies?
Yes. Token and per-inference pricing map directly to inference cost, so AI companies align price with value and avoid over- or under-charging customers.