Tokenality vs Lago
A billing engine to build on, or AI token billing that's already built.
Lago is an excellent open-source billing engine — if you want to self-host and build the AI metering, rating, and reconciliation yourself, it's a solid foundation. Tokenality is turnkey for AI: token rating across every provider, reseller hierarchy, overage, and reconciliation are the product, integrated by tailing the usage table you already write. And it's processor-neutral — you can even project to Lago or Stripe.
What to say in the room
The question comes from a specific seat. The answer should too.
Lago's strength is a flexible, open billing engine you control. Here's how the same question lands when you'd rather not build AI token billing from parts.
Founder / GM of an AI reseller
"We want usage-based tenant billing without a big build — what is the fastest path?"
Head of Engineering
"Who runs the billing infrastructure, and how much do we own?"
The pragmatist
"We already like Lago / Stripe for collection. Can we keep them?"
The details
Capability-by-capability, drawn fairly.
Lago is a great foundation if you want to own and operate your billing engine. The line is build-vs-buy for the AI-specific layer, and integration touch.
Posture
| Capability | Lago | Tokenality |
|---|---|---|
| Category | Open-source billing engine (self-hosted or cloud) | Turnkey AI metering-and-billing layer for resellers |
| Who operates it | You — self-host and maintain | Managed layer; you keep your gateway/providers/processor |
| AI specificity | General billing; AI token rating is yours to build | Per-provider token rating is the product, out of the box |
AI-reseller fit
| Capability | Lago | Tokenality |
|---|---|---|
| Token rating (all providers) | Build meters + prices yourself | OpenAI/Anthropic/Google/Azure/Bedrock/self-hosted/embeddings via one rate card |
| Customer hierarchy | Model it in your billing schema | Platform → tenant → end-user native; rate at any level |
| Integration | Wire your metering into Lago's ingestion | Tail your existing usage table (zero call-site changes) or one-line emit |
Assurance & neutrality
| Capability | Lago | Tokenality |
|---|---|---|
| Reconciliation | Build it against your billing data | events-generated vs invoiced → leakage assurance before close |
| Collection | Lago drives invoicing/collection | Project to Stripe / ERP / CSV — or Lago. We never touch the money. |
Honest take
When Lago is the right answer.
If you want to own and operate your billing engine — self-hosted, open-source, fully in your control — and you have the team to build the AI-specific metering, token rating, and reconciliation on top, Lago is an excellent foundation. Owning the whole stack is a legitimate choice, and we don't replace a general billing engine.
But if you'd rather not build AI token billing from parts — if you want per-provider rating, reseller hierarchy, overage, and reconciliation as a product you integrate by tailing your existing meter — that's turnkey, and it's faster. And because we're processor-neutral, Lago can still be where the invoice lands. Own the meter; keep your engine.
Buy the AI layer; keep your engine.
Model your recoverable revenue, or read why the meter should stay yours.