3DCodeBench - Executability: leaderboard

Procedural 3D modeling by code (3DCodeBench, Gao et al., 2026): for 212 Infinigen object categories the model writes a standalone Blender 5.0 Python script from a text description or from four reference renders, in one call. The score is the percentage of scripts that run and produce a mesh, averaged over the text-to-3D and image-to-3D tracks, with each model at its best thinking level; higher is better.

Metric: Executability (%; Blender 5.0 scripts that run and yield a mesh, 212 instances, mean of the text-to-3D and image-to-3D tracks, single call at the best thinking level). Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.791#75
2GPT-5.5 (High)90.6#48 (GPT-5.5)
3GPT-5.4 (Medium)86.6#121 (GPT-5.4)
4Claude Sonnet 4.680.4#158
5GPT-5.4 Mini (Medium)73.1#389 (GPT-5.4 Mini)
6Gemini 3.1 Pro (Preview)72.5#91
7Gemma 4 31B58.2#393
8Gemini 3.1 Flash Lite57.5#363
9Gemma 4 26B51.7#614
10Claude Haiku 4.550.2#568
11Gemini 3 Flash48.1#159
12Gemini 3.5 Flash46.4#98

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

Interactive version: theaggregate.ai/benchmark?slug=3dcodebench-executability · How It Works · Data refreshed daily, snapshot 2026-11-12.