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 Checked on 2026-11-02 from Langfuse's public page; we make FiscaLLM, so tell us if anything about Langfuse is out of date.
| FiscaLLM | Langfuse | |
|---|---|---|
| What it is | AI cost per user joined to real revenue: margin per user, plan and free trial | Open-source LLM observability: traces, evals, prompt management and cost tracking |
| Price | Free. Hosted with fair use (100,000 events per app per month), or self-hosted with no limit | Free self-hosted; hosted plans with a free tier |
| Hosting | Hosted or self-hosted | Hosted or self-hosted |
| Open source | Yes, MIT (server, dashboard and SDKs) | Yes |
| Revenue used for margin | Real revenue from RevenueCat (one-click connect and import), Stripe (webhook and 12-month import, beta, USD), CSV upload, or a revenue API | Tracks cost per user ID, but does not import subscription revenue to compute margin |
Pick Langfuse if you need tracing, evals and prompt debugging. Many teams use it alongside FiscaLLM, which adds revenue and margin.
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. Langfuse: Free self-hosted; hosted plans with a free tier.
Yes. FiscaLLM only needs one tracking call after each AI request and a revenue source, so it runs next to other tools.