CoCoBench - Handoff Coordination: 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 handoff-coordination instances, where objects are relayed through intermediate points.

Metric: Task success rate (%; handoff-coordination instances, relaying objects through intermediate points; 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 Sol94.2#29
2Claude Opus 4.885.7#56
3Kimi K2.661.6#173
4Qwen 3.6 Plus47.8#217
5Claude Haiku 4.540.6#568
6GPT-5.4 Mini12.9#389
7Qwen 3.5 9B2.7#803
8Qwen 3 VL 8B Instruct0#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-handoff-coordination · How It Works · Data refreshed daily, snapshot 2026-11-12.