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FiscaLLM vs Langfuse

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 Checked on 2026-11-02 from Langfuse's public page; we make FiscaLLM, so tell us if anything about Langfuse is out of date.

FiscaLLMLangfuse
What it isAI cost per user joined to real revenue: margin per user, plan and free trialOpen-source LLM observability: traces, evals, prompt management and cost tracking
PriceFree. Hosted with fair use (100,000 events per app per month), or self-hosted with no limitFree self-hosted; hosted plans with a free tier
HostingHosted or self-hostedHosted or self-hosted
Open sourceYes, MIT (server, dashboard and SDKs)Yes
Revenue used for marginReal revenue from RevenueCat (one-click connect and import), Stripe (webhook and 12-month import, beta, USD), CSV upload, or a revenue APITracks cost per user ID, but does not import subscription revenue to compute margin

Where Langfuse is strong

Pick Langfuse if you need tracing, evals and prompt debugging. Many teams use it alongside FiscaLLM, which adds revenue and margin.

Why teams pick FiscaLLM

Open the demo dashboard (sample data, no sign-up), read the docs, or start free. All comparisons: AI cost per user tools compared.

Questions

Is FiscaLLM a free Langfuse alternative?

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.

Can I use FiscaLLM and Langfuse together?

Yes. FiscaLLM only needs one tracking call after each AI request and a revenue source, so it runs next to other tools.