SpatialWorld - Social Collaboration: 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 46 multi-agent collaboration tasks. Scored by task success rate in percent; higher is better.

Metric: Task success rate (%) on the 46 multi-agent social collaboration tasks (Multi-AI2THOR and Multi-ProcTHOR); 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: Not forecast. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-534.8#167
2Qwen 3.5 397B A17B19.6#246
3Kimi K2.517.4#256
4GLM-4.5V13#744
5Seed 2.0 Lite13#289
6Gemini 2.5 Pro10.9#266
7Qwen 3 VL 235B A22B Instruct10.9#522
8Qwen 3 VL 235B A22B (Thinking)10.9#451
9Gemini 3.1 Pro (Preview)8.7#94
10GPT-5.46.5#123
11Gemini 3 Flash4.3#164
12Qwen 2.5 VL 72B Instruct2.2#846
13GLM-4.6V0#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-social-collaboration · How It Works · Data refreshed daily, snapshot 2026-11-13.