AI Interfaces
Model Eval Comparison
A side-by-side model decision card balancing quality, latency, cost, and groundedness.
Installation
Copy and paste the code into your project.
Accessibility notes
Every score and tradeoff is expressed as text, and the preferred candidate includes a visible label instead of color alone.
Evaluation run
Support answer quality
Fast
v2-mini
86%
quality score
- Latency
- 420ms
- Cost / 1k
- $0.18
Balanced
v3
94%
quality score
- Latency
- 880ms
- Cost / 1k
- $0.42
Balanced improves groundedness by 9 points with a 460ms latency tradeoff.
Preview accent
const candidates = [
{ name: "Fast", model: "v2-mini", quality: 86, latency: "420ms", cost: "$0.18" },
{ name: "Balanced", model: "v3", quality: 94, latency: "880ms", cost: "$0.42" },
];
export function ModelEvalComparison() {
return (
<section className="w-full max-w-md rounded-xl border border-white/12 bg-[#0b0f14]/92 p-4 shadow-2xl">
<header className="flex items-start justify-between gap-4">
<div><p className="text-xs font-semibold uppercase tracking-[0.18em] text-[#40E0D0]">Evaluation run</p><h3 className="mt-1 text-base font-bold text-white">Support answer quality</h3></div>
<span className="rounded-full bg-white/[0.06] px-2.5 py-1 text-[0.65rem] font-semibold text-slate-400">240 cases</span>
</header>
<div className="mt-4 grid grid-cols-2 gap-3">
{candidates.map((candidate, index) => (
<article key={candidate.model} className={index === 1 ? "rounded-lg border border-[#40E0D0]/28 bg-[#40E0D0]/[0.07] p-3" : "rounded-lg border border-white/10 bg-white/[0.035] p-3"}>
<div className="flex items-center justify-between gap-2"><div><h4 className="text-xs font-bold text-white">{candidate.name}</h4><p className="font-mono text-[0.6rem] text-slate-500">{candidate.model}</p></div>{index === 1 && <span className="rounded-full bg-[#40E0D0]/12 px-2 py-1 text-[0.6rem] font-bold text-[#d8fffb]">Best</span>}</div>
<p className="mt-4 text-2xl font-black text-white">{candidate.quality}%</p><p className="text-[0.65rem] text-slate-500">quality score</p>
<dl className="mt-3 space-y-1.5 border-t border-white/8 pt-3 text-[0.65rem]"><div className="flex justify-between"><dt>Latency</dt><dd>{candidate.latency}</dd></div><div className="flex justify-between"><dt>Cost / 1k</dt><dd>{candidate.cost}</dd></div></dl>
</article>
))}
</div>
<p className="mt-3 text-[0.65rem] text-slate-500">Balanced improves groundedness by 9 points with a 460ms latency tradeoff.</p>
</section>
);
}<ModelEvalComparison />Related components
Confidence
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Dataset slices
Eval performance
- 96%
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- 82%
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91 cases
- 74%
Complex queries
63 cases
Largest gap: complex queries trail the average by 14 points.
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Failure clusters
Eval root causes
- 1High
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- 2Medium
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11 related cases
- 3Low
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7 related cases
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A root-cause explorer that groups failed evaluation cases by pattern, volume, and impact.