MECoBench - Parallel (2 Agents): leaderboard

MECoBench (2026) studies multimodal agent collaboration on 96 VirtualHome household rearrangement tasks, where agents act from first-person views and exchange one broadcast message each before acting. This board is the success rate (%) of two agents sharing all rooms and a 60-step budget; higher is better.

Metric: Success rate (%) in the parallel setting (every agent may enter every room; 60 total steps shared by the team) with two agents, on 96 VirtualHome household rearrangement tasks (2 to 7 subgoals each) in which multimodal agents act from four-view first-person observations; agents exchange one broadcast message each before acting; printed 0-1 and x100 here; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 15 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 9B93.8#803
2Qwen 3.5 27B93.8#359
3GPT-5.489.6#123
4Gemma 4 31B (IT)83.3#342
5Gemma 4 26B A4B (IT)81.2#549
6Qwen 3 VL 32B Instruct80.2#585
7Gemini 3.1 Pro (Preview)77.1#94
8GLM-4.6V71.9#701
9Qwen 3 VL 235B A22B Instruct66.7#522
10Qwen 3 VL 8B Instruct45.8#981
11Llama 4 Scout Instruct25#1543

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

Interactive version: theaggregate.ai/benchmark?slug=mecobench-parallel-2-agents · How It Works · Data refreshed daily, snapshot 2026-11-13.