Lower your clients’ AI costs. Get paid when you do.
Built for agencies and freelance AI developers who need reliable, affordable model access — and want to earn from recommending it.
A key per client
Separate keys, separate spend caps, separate logs. Bill each client for exactly what they used, with an itemised invoice to prove it.
Margin you control
Keep the difference as margin, or pass it through as a competitive advantage in your own pricing. Your call, per engagement.
Licensing you can defend
Every model we serve is open-weight under its own license. Nothing in your client's stack depends on a gray-area resale arrangement.
How the numbers usually work
An AI automation studio builds a customer-service assistant for an e-commerce client, running roughly 400M tokens a month on GLM-5.2. At official pricing that project costs about $952/month. Through AI Token Router the same workload costs about $551/month — $401 of monthly margin they can either keep or pass along.
This is an illustrative example, not a verified customer result. The token volume and split are assumptions; the rates are the real ones from our pricing page, so you can check the arithmetic yourself.
Earn 10–15% recurring commission
On every client you bring to AI Token Router, for 180 days per referral.
See how it worksRunning several clients on one account
The operational mechanics, since an agency's problem is rarely the rate and usually the bookkeeping.
One key per client engagement
Keys are created and revoked from the dashboard, and a key is shown in full exactly once at creation. Per-client keys are what make usage attributable at invoicing time and what let an engagement end cleanly: revoke the key, and that client's access stops without touching anyone else's.
The balance is the ceiling, for everyone at once
Spend is prepaid and enforced on every request, so the account balance bounds every client project on it simultaneously. A client whose agent loops overnight stops at what you have already paid rather than producing an invoice. Automatic recharge is off unless you turn it on, and when on it is capped at three recharges in any 24 hours and disabled after three consecutive declines.
Rebill or pass through, per engagement
Our rate is published per model with the official rate beside it, so both models of agency pricing survive contact with a client who checks: keep the difference as margin, or pass it through and show the saving as part of what you delivered.
The two relationships are separate
Using the API for client work and referring clients to it are different accounts and different mechanics. A client you refer signs up in their own name, pays their own bill and keeps their own keys; you earn 10–15% of what they spend for 180 days without sitting in the middle of their billing.
Scope a client project against what is callable today
Seven of twenty-four catalogued models are served now. That is the number to design against.
Kimi K2.6, Kimi K3, GLM-5.2, DeepSeek V4 Pro, DeepSeek V4 Flash, Qwen-Image, Qwen3 Embedding 8B are callable today. The remaining models — including every video model in the catalogue — are published with their rates and marked unavailable until an upstream serves them, so a request for one returns no available channel rather than quietly routing somewhere else. Two more constraints worth putting in a proposal: there is no closed frontier model here, by licensing choice rather than roadmap, and there is no automatic failover between models, so redundancy is something you design rather than something you inherit.
Availability is marked on every model page and returned by GET /v1/models.
Questions agencies ask
Can I keep each client's usage and billing separate?
Should I resell at our rate or pass the saving to the client?
What can I safely promise a client about model availability?
Do I earn on referrals and use the API myself at the same time?
What licensing exposure am I handing my client?
Talk to us about client billing
Per-client attribution, consolidated invoicing, or anything the pages above did not answer.