# Divergent Labs

> Two things. Small models trained for one job inside a product, which your code calls by the token. And GPUs by the minute to train and measure models of your own, in private beta.

## Models

Specialized models for product teams: each one is trained to do one job inside a product well, and nothing else. Your code sends the thing — a chat, an email, a ticket — as JSON, and gets one checked line back. Billed by the token, from the org's credit.

| Model | What it does | Price |
| --- | --- | --- |
| [Rubric](https://docs.divergentlabs.xyz/models/rubric.md) | a chat's title, and a one-line preview of an email, message, ticket or agent action | $0.10 per million input tokens, output free |

[How models are called and billed →](https://docs.divergentlabs.xyz/models.md)

## Compute (private beta)

GPUs by the minute to train and measure models of your own, driven from the `div` CLI or, by an agent, from the MCP server. A run is placed, metered, streamed and stopped at a spend ceiling you set in dollars.

```bash
div login
div run --gpu h100 train.py::run --max-spend 5.00
```

Compute is open to the orgs we have let in, and its commands, flags and prices can change before it opens to everyone. [Request access](https://tally.so/r/yPOxpB).

[Start with the div CLI →](https://docs.divergentlabs.xyz/compute.md)

## Every page is Markdown too

Each page on this site is also served as the Markdown it was written in: add `.md` to the address, or use **Copy page** at the top of it. [`/llms.txt`](https://docs.divergentlabs.xyz/llms.txt) lists them all, for an agent that wants to read the docs before it calls a model or drives the CLI.