One API.Intelligent RoutingOn All Your Tasks

taskrouter.com · 2026-10-02 · by Long Nguyen ·generic
One OpenAI-compatible API that routes to models qualified by published task benchmarks. Compare evidence, set a quality floor, and create a stable route.

One API.Intelligent RoutingOn All Your Tasks

Neurometric Task Router

One API.

Intelligent Routing On All Your Tasks

Other routers guess from price tags and leaderboards. Task Router learns from your workloads so your inference is always optimized for your requirements.

Create a routeSee how routing works ↓Explore tasks →

Keep your OpenAI SDK. Change the base URL and model alias.

See routing in action

Your requirements choose the model.

Choose a task and set your quality target. See which models qualify, which one is selected, and the fallback order—all from published benchmark evidence.

1. 1 · Your task Quick-Reply 2. 2 · Your requirements 90% minimum quality · lowest cost 3. 3 · Model selection Qwen3 4B Instruct 2507 4. 4 · Stable API endpoint taskrouter/<your-route>

Your taskMinimum benchmark quality: 90%Maximum p50 latency (seconds)

Lowest-cost policy. Quality is measured on the published evaluation set; it is not a guarantee for every request.

Create this route →Inspect benchmark

Sign in to save your route. Your task and requirements come with you.

Selected model

Qwen3 4B Instruct 2507

Selected because it meets your 90% quality target at the lowest measured cost.

Fallback order: Gemma 4 E4B IT → Ministral 8B Instruct 2410 → Granite 4.1 8B

| Measured inference cost for 100,000 ticket. Routing fees are additional.| Model | Quality | p50 | Cost | Selection | | -------------------------------------------------------------------------------- | ------- | ----- | ------- | ---------- | | Nemotron Nano 9B v2 | 100.0% | 2.33s | $9.402 | Qualifies | | Qwen3 235B A22B | 99.0% | 1.12s | $11.198 | Qualifies | | DeepSeek V3 | 100.0% | 1.07s | $24.696 | Qualifies | | Mistral Large 2407 | 100.0% | 1.47s | $153.30 | Qualifies | | Arcee Trinity Large Thinking | 99.0% | 1.41s | $42.08 | Qualifies | | GPT-5.4 | 100.0% | 1.31s | $145.50 | Qualifies | | Claude Opus 4.7 | 100.0% | 2.04s | $490.60 | Qualifies | | Gemini 3.1 Pro Preview | 100.0% | 3.97s | $455.60 | Qualifies | | Gemma 4 E4B IT | 95.0% | 0.47s | $1.0234 | Fallback 1 | | Granite 4.1 8B | 99.0% | 0.72s | $2.13 | Fallback 3 | | Ministral 8B Instruct 2410 | 100.0% | 1.39s | $1.3061 | Fallback 2 | | Qwen3 4B Instruct 2507 | 100.0% | 1.80s | $0.4906 | Selected |

Evidence preview, not a live request. Route creation checks current availability; your API alias stays stable as qualified models change.

263published tasks3,120measured model resultsMeet the models →

Why task-aware routing

Model choice is a task question, not a model question.

A model can excel at one workload and fall short on another. General leaderboards cannot tell you which. Task-level measurements can.

Choosing a model yourself

  • →Compare general benchmarks and price tags
  • →Build and run your own task evaluations
  • →Review each new model and update your integration
  • →Maintain your own fallback chain
  • With Task Router

  • →Inspect published evidence for the task you are running
  • →Set a quality floor and an optional latency cap
  • →Keep a stable route alias as qualified models change
  • →Use an ordered fallback chain of qualified models

For developers

Two changes to your code.

Evidence already built.

1. 1

Create a route for your task

Pick a published task, set your quality floor, and choose a routing preset. 2. 2

Point your OpenAI SDK at it

Use your organization API key and the stable taskrouter/<slug> alias. 3. 3

Ship, then track the route

With auto-optimize on, the route can adapt as qualified models and prices change.

PythonTypeScript

Copy

import os
from openai import OpenAI

client = OpenAI( base_url="https://api.neurometric.ai/v1", api_key=os.environ["NEUROMETRIC_API_KEY"], )

response = client.chat.completions.create( model="taskrouter/privilege-triage", messages=[{"role": "user", "content": email_thread}], )

Replace `taskrouter/privilege-triage` with the alias shown on your route.

Pricing

Free

for 1,000 routing decisions per month

Then $0.15 per 1,000 decisions

Plus inference at the provider's price, with no markup. Routing only pays for itself if it saves you money, so here's the math on one measured task.

Task: Attorney-Client Privilege Triage100K emails

Always Claude Opus 4.7 (100%)$666.00

Routed to Qwen3 235B (91%, target 90%)$15.21

Routing fee (first 1K free, 99K × $0.15/1K)$14.85

You save$635.94 · 95%

Not ready to route yet?

Task Explorer is free. Describe a task, compare measured quality, cost, and speed, and inspect the evidence before you commit.

Open Task Explorer →

Questions developers ask

What if my task is not supported?

Describe it in Task Explorer to find related published evidence. If nothing fits, submit a benchmark request for review.

Is it OpenAI-compatible?

Use the OpenAI SDK, set the base URL to api.neurometric.ai/v1, and use the model alias shown on your route.

What if no model clears my quality floor?

You cannot activate a new route without a qualified model. The optimizer keeps an existing route’s last-good plan when it cannot qualify a replacement.

How does this work with OpenRouter?

OpenRouter is a serving provider. Task Router adds task-specific benchmark evidence and a policy that orders qualified model candidates.

What can I control?

Choose lowest cost, balanced, or highest quality, set a quality floor and p50 latency cap, and turn automatic optimization on or off.

Do I need to sign in to explore?

No. Explorer, Tasks, Models, and Providers are public. Sign in to run Playground requests, save a watchlist, or create production routes.

Stop picking models.

Start setting targets.

Sign upBrowse tasks

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