SceneActBench - Reconstruction: leaderboard

Reconstruction task of SceneActBench (2026): 100 3D-FRONT rooms from about 11 calibrated views: build the furnished scene from an empty Blender scene, scored by F-score at 5%. 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 about 11 calibrated views: build the furnished scene from an empty Blender scene, scored by F-score at 5%; 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 2031. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (High)12.3#123 (GPT-5.4)
2Claude Sonnet 5 (High)10.5#111 (Claude Sonnet 5)
3GPT-5.4 (Medium)10.4#123 (GPT-5.4)
4Claude Opus 4.6 (High)9.8#102 (Claude Opus 4.6)
5MiniMax-M3 (High)9.6#269 (MiniMax-M3)
6Seed 2.0 Pro (High)8.8#211 (Seed 2.0 Pro)
7Step 3.7 Flash (High)8.6#465 (Step 3.7 Flash)
8Kimi K2.6 (Thinking)8.5#178 (Kimi K2.6)
9Gemini 3.1 Pro (Preview) (High)7.1#94 (Gemini 3.1 Pro (Preview))

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

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