CoCoBench - Mutual Exclusion: leaderboard

CoCoBench (2026) evaluates multimodal LLMs as centralized planners for two to four cooperating embodied agents on 897 executable household tasks. Task success rate in percent, higher is better, on the mutual-exclusion instances, where agents share a single tool without blocking each other.

Metric: Task success rate (%; mutual-exclusion instances, sharing a tool or resource without contention; 897 oracle-validated executable household multi-agent task instances with two to four agents, centralized planner with image observations, task-specific step budgets). Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol96.5#29
2Claude Opus 4.893.9#56
3Kimi K2.693.5#173
4Qwen 3.6 Plus88.3#217
5Claude Haiku 4.575.7#568
6Qwen 3.5 9B17#803
7GPT-5.4 Mini10.9#389
8Qwen 3 VL 8B Instruct1.3#982

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

Interactive version: theaggregate.ai/benchmark?slug=cocobench-mutual-exclusion · How It Works · Data refreshed daily, snapshot 2026-11-12.