SceneActBench - Articulated: leaderboard

Articulated task of SceneActBench (2026): 100 S2O articulated objects: rig a closed, unlabelled mesh to reproduce 32 ordered frames of its motion, scored by mean part error against a 1 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 S2O articulated objects: rig a closed, unlabelled mesh to reproduce 32 ordered frames of its motion, scored by mean part error against a 1 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 February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (High)73.8#123 (GPT-5.4)
2Claude Opus 4.6 (High)63.7#102 (Claude Opus 4.6)
3GPT-5.4 (Medium)62.3#123 (GPT-5.4)
4Seed 2.0 Pro (High)59.6#211 (Seed 2.0 Pro)
5MiniMax-M3 (High)58.4#269 (MiniMax-M3)
6Claude Sonnet 5 (High)57.8#111 (Claude Sonnet 5)
7Kimi K2.6 (Thinking)57.3#178 (Kimi K2.6)
8Gemini 3.1 Pro (Preview) (High)56.5#94 (Gemini 3.1 Pro (Preview))
9Step 3.7 Flash (High)48.3#465 (Step 3.7 Flash)

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

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