/** * llmindex.io — dedicated full-page live efficiency frontier * Author: Simon-Pierre Boucher * Contact: contact@spboucher.ai * License: Proprietary — © Simon-Pierre Boucher, all rights reserved */ import type { Metadata } from 'next'; import Link from 'next/link'; import { FrontierChart, type FrontierPoint } from '@/components/FrontierChart'; import { getEfficiencyData } from '@/lib/data'; export const metadata: Metadata = { title: 'Efficiency Frontier', description: 'Live Pareto frontier of LLM quality vs. measured cost — every point with 95% confidence intervals, updated automatically as models finish the benchmark.', }; export const revalidate = 300; export default async function FrontierPage() { const data = await getEfficiencyData(); const initial: FrontierPoint[] = data.map((p) => ({ model: p.slug, name: p.name, provider: p.provider, score: p.score, score_low: p.scoreLow, score_high: p.scoreHigh, latency_p50: p.latencyP50, cost_per_1k_items: Number(p.costPer1kItems.toFixed(4)), on_frontier: p.onFrontier, })); return (
Global Index versus measured cost per 1,000 evaluation items (metered tokens × live pricing), on a log scale. Models on the{' '} frontier are not dominated on both axes; every other model is strictly worse on quality and cost than some frontier point. By design this is published as a set — never collapsed into a single blended “value” number. The chart updates itself as the live benchmark lands each model.
Prefer numbers? The same data lives in the{' '} leaderboard table {' '} and the{' '} public API . Methodology: cost is the mean measured cost per item across a model's scored domains × 1,000; whiskers are the 95% CI of the Global Index; the frontier is computed on (score ↑, cost ↓) dominance.