SpatialWorld - Daily Routines: leaderboard

SpatialWorld (2026) runs multimodal models as agents in 3D simulators under vision-only observation, with every environment behind one text action interface and each task checked by a terminal-state verifier. This board covers the 350 daily-routine household tasks. Scored by task success rate in percent; higher is better.

Metric: Task success rate (%) on the 350 daily-routine tasks (AI2-THOR, ProcTHOR, VirtualHome, EmbodiedCity); task success rate (%) judged by terminal-state verifiers, vision-only egocentric observation and a unified text action interface, temperature 1.0, 30-turn history, step budget twice the human golden action count plus 10; higher is better. Source: arxiv.org. Saturation forecast: Around May 2028. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-514.9#167
2Qwen 3.5 397B A17B13.1#246
3Gemini 3.1 Pro (Preview)11.4#94
4Kimi K2.511.1#256
5GPT-5.48#123
6Gemini 3 Flash8#164
7Gemini 2.5 Pro7.4#266
8Qwen 3 VL 235B A22B Instruct6.9#522
9Qwen 3 VL 235B A22B (Thinking)5.7#451
10Seed 2.0 Lite5.7#289
11Qwen 2.5 VL 72B Instruct3.7#846
12GLM-4.5V3.7#744
13GLM-4.6V2.9#701

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

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