MECoBench - Parallel (1 Agent): 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 a single agent with the whole 60-step budget; higher is better.

Metric: Success rate (%) of a single agent in the parallel setting (every agent may enter every room; 60 total steps shared by the team), on 96 VirtualHome household rearrangement tasks (2 to 7 subgoals each) in which multimodal agents act from four-view first-person observations; printed 0-1 and x100 here; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.485.4#123
2Qwen 3.5 9B85.4#803
3Qwen 3.5 27B84.4#359
4Gemma 4 31B (IT)83.3#342
5Gemini 3.1 Pro (Preview)80.2#94
6Gemma 4 26B A4B (IT)76#549
7Qwen 3 VL 235B A22B Instruct65.6#522
8GLM-4.6V59.4#701
9Qwen 3 VL 32B Instruct58.3#585
10Qwen 3 VL 8B Instruct35.4#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-1-agent · How It Works · Data refreshed daily, snapshot 2026-11-13.