Nneurometric
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Neurometric Task Router

Real tasks. Measured models. Clearer choices.

Compare measured quality, cost, and speed across model tiers. See where a smaller model approaches frontier quality and follow the evidence to an available provider—free, with no API key required.

Methodology

How we measure

Every comparison uses the same task-specific process. Results are directional rather than a production SLA, and each task shows its sample, rubric, judge, limitations, and pricing provenance.

01

Freeze a dataset

We create and freeze a representative set of real task cases, so every model is graded on exactly the same work.

02

Define the rubric

A task-specific rubric spells out what counts as correct — and what counts as a failure — before any model runs.

03

Run every tier

Qualified candidates from all four tiers run on the frozen holdout and are scored by an LLM judge for comparable pass rates.

04

Join published pricing

Measured token profiles meet the latest available provider prices, with source and freshness shown so every estimate can be checked.