UXBench (Mobile) - Bubble Occluding Text: leaderboard

UXBench (2026, mobile UI) tests whether multimodal models can diagnose user-experience defects from real mobile app screenshots with two- or three-option questions balanced between defective and normal screens. This board is accuracy (0-100) on questions about bubble overlays that cover page text; unparseable answers count as wrong; higher is better.

Metric: Accuracy (0-100) on bubble overlays occluding page text (usability): two- or three-option multiple-choice UX-defect diagnosis questions on real mobile app screenshots (2,000 questions over eight tasks, balanced positive and negative cases), temperature 0, 8,192-token output limit, a response that cannot be parsed counts as wrong; printed as a 0-1 accuracy and x100 here; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 14 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.565#250
2Claude Sonnet 464#400
3Claude 3.7 Sonnet64#458
4Qwen 3 VL 235B A22B (Thinking)52#451
5Qwen 3 VL 4B (Thinking)47#1296
6Qwen 3 VL 235B A22B Instruct30#522

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

Interactive version: theaggregate.ai/benchmark?slug=uxbench-mobile-bubble-occluding-text · How It Works · Data refreshed daily, snapshot 2026-11-13.