NneurometricTask Router
Sign up

Neurometric Task Router

One API.
Intelligent Routing
To Any Model

Task Router starts off routing you to frontier models, then analyzes your traffic and recommends models that are faster, cheaper, and more accurate based on your unique workloads. If you want to use the best models, use Task Router.

QuickstartExplore tasks →

Change your base_url, keep your code. No evals to build first.

Routing across models from

  • Scaledown
  • Neurometric
  • Microsoft
  • Google
  • Alibaba
  • Mistral
  • IBM

How It Works

  1. 01Swap in one endpointReplace your existing model calls with the Task Router API endpoint.
  2. 02Nothing changes on day oneWe route to the models you already use. You pay the provider's list price plus a small routing fee, and the first 1,000 routing decisions each month are free.
  3. 03We learn your workloadsWe analyze your traffic and recommend ways to improve latency, cost, and accuracy on your unique tasks.
  4. 04You stay in controlAccept the new routes, or keep what you have.

For developers

Three steps. Your code stays the same.

  1. 1
    Point your OpenAI SDK at Task RouterChange two lines: the base URL and the API key. Keep your client library and request code as they are.
  2. 2
    Optional: create a route for your taskDescribe what you need and we find or build the task for it. Set a minimum quality, and a latency cap if you need one.
  3. 3
    Go live, and the route gets cheaper over timeWith auto-optimize on, the route switches to a cheaper model when one meets your quality target.
# pip install openai
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.taskrouter.com/v1",
    api_key=os.environ["TASKROUTER_API_KEY"],
)

reply = client.chat.completions.create(
    model="gemini-3.1-flash-lite",
    messages=[{"role": "user", "content": "Summarize in one sentence: our October invoice shows the same charge twice."}],
)
print(reply.choices[0].message.content)

Set TASKROUTER_API_KEY to your API key first. Use any model ID that is ready to run on the Models page, or your task route's alias.

Not ready to send traffic yet? Exploring tasks is free, with no account or API key. Describe a task and compare measured quality, cost, and speed across models before you commit.

Explore tasks →

Questions developers ask

What if my task isn't supported?

Describe it and we'll map it to the closest measured task. If nothing fits well, we'll benchmark it.

Is it really OpenAI-compatible?

Yes. Use the OpenAI SDK you already have, change the base URL and the API key, and set the model to a model ID or your route's alias. Your client code stays the same.

What happens if no model hits my target?

The route isn't created, so you never end up on a model that quietly misses your quality bar. Lower the target, relax the latency cap, or request a benchmark.

How is this different from OpenRouter?

Unified API routers give you access to many models. Task Router also decides which model to use, based on measured quality for your specific task.

Can I control how a route picks models?

Yes. Each route has a preset (lowest cost, balanced, or highest quality), a minimum quality and a p50 latency cap. Turn off auto-optimize to hold a route steady.

How fresh is the pricing data?

Provider prices are observed daily across routers. Every price on a task page shows the date it was observed.

Set a quality target. We pick the model.

Quickstart