SpatialWorld - Physical: 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 pools all 655 physical-simulator tasks (household, driving, aerial and multi-agent). Scored by task success rate in percent; higher is better.

Metric: Task success rate (%) on all 655 physical-simulator tasks (task-weighted over the five scenario categories); 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 September 2028. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-514.4#167
2Qwen 3.5 397B A17B12.2#246
3Gemini 3.1 Pro (Preview)9.2#94
4Kimi K2.59.2#256
5Gemini 3 Flash7.2#164
6Qwen 3 VL 235B A22B Instruct6.9#522
7Gemini 2.5 Pro6.7#266
8GPT-5.46.6#123
9Qwen 3 VL 235B A22B (Thinking)6.1#451
10Seed 2.0 Lite5.8#289
11GLM-4.5V4#744
12Qwen 2.5 VL 72B Instruct3.4#846
13GLM-4.6V2.7#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-physical · How It Works · Data refreshed daily, snapshot 2026-11-13.