SceneActBench - Layout: leaderboard

Layout task of SceneActBench (2026): 100 3D-FRONT rooms from one view: place N canonical object meshes in their poses, scored by ADD-S error against a 4 m reference. The agent acts through a shared Blender tool interface; task score from 0 to 100, higher is better.

Metric: Task score (0-100): 100 3D-FRONT rooms from one view: place N canonical object meshes in their poses, scored by ADD-S error against a 4 m reference; every configuration drives one headless Blender through the same MCP tool interface (scene and object inspection, Python execution, rendering) with task step budgets; each native geometric error or F-score is mapped to a 0 to 100 case score against a fixed reference, invalid outputs score 0, cases are averaged per task. Source: arxiv.org. Saturation forecast: Around October 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (High)84.1#123 (GPT-5.4)
2Step 3.7 Flash (High)77.5#465 (Step 3.7 Flash)
3Seed 2.0 Pro (High)77.4#211 (Seed 2.0 Pro)
4Claude Opus 4.6 (High)73.5#102 (Claude Opus 4.6)
5GPT-5.4 (Medium)72.7#123 (GPT-5.4)
6Kimi K2.6 (Thinking)70.9#178 (Kimi K2.6)
7Gemini 3.1 Pro (Preview) (High)65.4#94 (Gemini 3.1 Pro (Preview))
8MiniMax-M3 (High)58.1#269 (MiniMax-M3)
9Claude Sonnet 5 (High)51.9#111 (Claude Sonnet 5)

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

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