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Ask AI

Open Factor
Platform activity

Features

Every step goes to the model it needs

Auto reads each request in a chat or run. Quick asks stay on lighter tiers, and hard problems get a frontier model.

Contact salesGet started
Three requests routed by Auto to the efficient, fast, and frontier model tiersRequestsAutoEfficientFastFrontierSimple asks stay on lighter tiers

Built to route on purpose

Sized to the task, not the default

Auto picks a model tier for each request, so simple work stops paying frontier prices.

A tier for every request

Each request goes to the efficient, fast, or frontier tier, based on what it asks for.

Three tiers

Auto chooses between efficient, fast, and frontier tiers for each request.

Hard work goes up

Requests to debug, design, or plan multi-step work go to the frontier tier.

A safe default

If classification fails, the request still runs on the default route.

Your choice wins

Pick a model or connect your own provider, and Auto steps aside.

Where routing shows up

Routing across your work

Chat

Auto is the default model for chat.

Runs

Runs use the same generation path as chat, so they are routed the same way.

Output caps

Each tier carries its own output token cap.

Model picker

Pick a specific model at any time to skip Auto.

Your own providers

With your own model provider connected, requests go straight to it.

Thinking level

Set a thinking level on models that support it.

Routing questions, answered

How Auto picks a model, and how to take control.

Want help choosing models? Talk to us

1
What does Auto do?
It reads each request and sends it to the efficient, fast, or frontier tier.
2
How does it decide?
A quick check handles clear cases, such as a short question or a request to debug. Less clear requests go to a small classifier model.
3
What if classification fails?
The request runs on the default route instead of failing.
4
Can we pick a model ourselves?
Yes. Choose any model in the picker, and Auto does not route that request.
5
Does routing work with our own provider?
When you connect your own model provider, requests go to it directly without Auto.
6
Does routing apply to runs?
Yes. Chat and runs share the same generation path.
7
Does each tier have an output limit?
Yes. Each tier carries its own output token cap.
8
Can we control how much a model thinks?
Yes. Set a thinking level on models that support it.

Pay for the model the work needs

Let Auto route each request, and pick a specific model whenever you want.

Contact salesStart routing

Works with

AI Agent FactoryAgent fleets on scheduleCost OptimizationSet limits before the runBYOK and HarnessesYour models, your keys