Your agent is a whale. Per-token pricing is built for sardines.
Here's the story every heavy agent user lives  and the math that decides who wins.
Your agent re-reads everything, every turn.
A coding agent doesn't send a short question. It sends the whole conversation, the whole file, the whole plan  again, on every single turn. One prompt into an existing conversation at 1M context is already more than 100,000 input tokens. Ten turns an hour is a million tokens an hour. A serious setup  several agents, long horizons, big repos  runs 10 million tokens an hour, all day, every day.
Per-token APIs bill that whale at sardine prices… per sardine.
At 10M input tokens an hour, GLM-5.2's meter reads $14/hr. Kimi K3 reads $30/hr. And that's before output. The more your agent works, the more you pay  linearly, forever. The per-token model was built for people who ask one question and walk away. It is the exact opposite of what you are.
On a dedicated endpoint, the tokens are free.
You pay for the hour, not the tokens. 10M tokens an hour? 100M? 1 billion tokens an hour, per user, and that's fine. The meter doesn't care. Your server runs only your traffic, with up to 1M of context  and the price is the same whether your agent is idle or overflowing it. Heavy use is not a penalty here. It's the point.
And nothing you send is kept.
Your endpoint is dedicated to you. Your prompts, your code, your context  zero data retention. No training on your work, no logs of your conversations, no shared anything. The server is yours for the hour; when it stops, it's gone.
Your own lane. The whale swims alone  that's the whole product.