> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getlilac.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Revenue & Payouts

> Understand how Lilac calculates supplier earnings with the 70/30 revenue split, tracks per-token payouts, and processes monthly payment cycles.

As a supplier, you earn revenue for every inference token processed on your GPUs. Lilac handles pricing, billing, and collection — you provide the capacity.

## Revenue Split

|                        | Share |
| ---------------------- | ----- |
| **You (the supplier)** | 70%   |
| **Lilac**              | 30%   |

Revenue is calculated per token based on the model being served:

```
your_payout = tokens_processed × model_token_price × 0.70
```

## What Drives Revenue

Your earnings depend on three factors:

1. **GPU availability** — more GPU-hours available means more potential revenue
2. **Inference demand** — Lilac routes traffic to the best available GPUs across the network
3. **Model pricing** — higher-priced models generate more revenue per token

## Monthly Reporting

At the end of each month, Lilac sends you a report with your earnings breakdown:

* **Total tokens processed** — prompt + completion tokens across all models
* **Per-cluster breakdown** — earnings by cluster and model
* **Gross revenue** — total token revenue before the split
* **Your payout** — your 70% share

## Payouts

Payouts are sent monthly after your earnings report is generated. During onboarding, we'll collect your payment details:

* **Wire transfer** — provide your bank wire information
* **ACH** — provide your ACH routing and account numbers

<Info>
  For questions about payouts or to update your payment information, email [contact@getlilac.com](mailto:contact@getlilac.com).
</Info>

## Maximizing Revenue

<Tip>
  The more GPU-hours you make available, the more you earn. Consider widening your availability windows or dedicating idle nodes full-time to maximize revenue.
</Tip>

* **Extend availability windows** — evenings, weekends, and holidays tend to have high inference demand
* **Add more pools** — if you have different GPU types, create separate pools for each
* **Minimize preemption** — stable availability lets Lilac route more consistent traffic to your cluster