LivingScreen - Closed-Loop Application: leaderboard

LivingScreen (Beijing Institute of Technology, 2026) runs multimodal GUI agents on a browser replica of a Chinese short-video app whose videos keep playing, so the agent must choose what to watch and for how long while it swipes, seeks and operates the feed; 499 annotated tasks, 30 steps per episode. This tier covers fact-checking, content moderation and preference simulation, graded on the final platform state; success rate in percent, higher is better.

Metric: Success rate (%) on L3 fact-checking, content moderation and preference-simulation tasks graded on the final platform state; LivingScreen: 499 Chinese short-video tasks in a browser replica of a short-video app (1,528 real videos, about 5.6 per feed); a single-agent loop issues GUI actions plus watch and wait primitives from screenshots or recorded clips, 30-step cap, temperature 0.6, high reasoning effort; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.5 Flash (High)57.4#101 (Gemini 3.5 Flash)
2Gemini 3.1 Pro (Preview) (High)46.8#94 (Gemini 3.1 Pro (Preview))
3Seed 2.0 Pro (High)37.6#211 (Seed 2.0 Pro)
4Claude Opus 4.6 (High)27.7#102 (Claude Opus 4.6)
5Qwen 3.6 Plus (High)22.8#222 (Qwen 3.6 Plus)
6GLM-5V Turbo12.9#344
7Claude Sonnet 4.6 (High)11.3#161 (Claude Sonnet 4.6)
8Kimi K2.5 (Thinking)10.9#256 (Kimi K2.5)
9GPT-5.4 (High)0#123 (GPT-5.4)
10GPT-5.5 (High)0#49 (GPT-5.5)

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

Interactive version: theaggregate.ai/benchmark?slug=livingscreen-closed-loop-application · How It Works · Data refreshed daily, snapshot 2026-11-13.