EvoGenUI-Bench - Presentation: leaderboard

Metric: Turn pass rate (%; share of the 250 information-presentation turns whose artifact passes every hidden requirement; 150 five-turn generative-UI tasks (750 turns) in three suites of 50: information presentation, executable interaction and tool-grounded external state; each turn's artifact is executed in a browser and a MiMo-V2.5 evaluator checks hidden requirements from screenshots, source and DOM evidence, MiMo-V2.5 actor traces and runtime logs; turns left unexecuted after an earlier build failure or invalid output count as failures; temperature 0). Source: arxiv.org. Saturation forecast: Around January 2028. 8 models tracked.

Top models

#ModelScore
1Claude Opus 4.782.4
2Claude Haiku 4.5 (20251001)76
3Gemini 3 Flash (Preview)62.8
4Qwen 3.6 Plus60
5GPT-5.544.8
6Qwen 3 Coder 480B A35B Instruct44
7Gemini 3.1 Pro (Preview)38.4
8GLM 4.5 Air35.2

Interactive version: theaggregate.ai/benchmark?slug=evogenui-bench-presentation · How It Works · Data refreshed daily, snapshot 2026-09-29.