Both help you see what AI costs per user. The difference is what they compare it with, what they cost, and where your data lives. Checked on 2026-11-08 from OpenMeter's public page; we make FiscaLLM, so tell us if anything about OpenMeter is out of date.
| FiscaLLM | OpenMeter | |
|---|---|---|
| What it is | AI cost per user joined to real revenue: margin per user, plan and free trial | Open-source usage metering and billing (now part of Kong): meters events such as tokens per customer and bills for them |
| Price | Free. Hosted with fair use (100,000 events per app per month), or self-hosted with no limit | Free self-hosted; hosted through Kong Konnect, see its pricing |
| Hosting | Hosted or self-hosted | Hosted or self-hosted |
| Open source | Yes, MIT (server, dashboard and SDKs) | Yes, Apache 2.0 |
| Revenue used for margin | Real revenue from RevenueCat (one-click connect and import), Stripe (webhook and 12-month import), CSV upload, or a revenue API | Turns usage into invoices for your customers; does not compare your AI cost with what each customer paid |
| Stripe | Per end user: payments, trials, cancellations, refunds and lost disputes from a webhook, 12 months of history, Stripe's exact fee and any currency with a read-only key | Syncs usage to Stripe to create invoices |
Pick OpenMeter if you want to charge customers per token or per use. FiscaLLM is for the other side: whether what they pay covers what they cost you. They work well together.
Open the demo dashboard (sample data, no sign-up), read the docs, or start free. All comparisons: AI cost per user tools compared.
Yes. FiscaLLM is free and open source (MIT): use the hosted service at fiscallm.com or run your own copy. OpenMeter: Free self-hosted; hosted through Kong Konnect, see its pricing.
Yes. FiscaLLM only needs one tracking call after each AI request and a revenue source, so it runs next to other tools.