UXBench - Human-Rated Lift: leaderboard

UXBench (2026) evaluates LLMs as interaction-grounded UX judges: the model explores a runnable web fixture, writes a UX report, and a fixed repair agent edits the page from that report. This board is the blind human-rated lift: six UX and front-end experts rate the repaired and unrepaired versions of 41 fixtures on a 1 to 5 rubric, and the score is the mean paired improvement in rubric points. Higher is better.

Metric: Mean repair lift (rubric points on the 1-5 scale, signed): blind ratings by six UX and front-end experts of the fixture repaired from the model's UX report minus the unrepaired baseline, paired by site over the 41 fixtures and averaged over seven rubric dimensions; the model explores each fixture through a coverage-gated browser trajectory and a fixed repair agent applies its report; higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 8 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.40.35#123
2Claude Sonnet 4.60.32#161
3GPT-5.4 Mini0.26#389
4GLM-5.10.25#179
5Gemini 3.1 Pro (Preview)0.21#94
6Kimi K2.50.21#256
7GPT-5.4 Nano0.2#635
8Qwen 3.6 Plus0.17#222

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=uxbench-human-rated-lift · How It Works · Data refreshed daily, snapshot 2026-11-13.