P3D-Bench - Text-to-3D Descriptive: leaderboard
Metric: MLLM-judge bucket score (0-100) (QA on the descriptive specification and semantic judging of renders) on 400 Text-to-3D cases from descriptive specifications (minimal JSON and OpenSCAD outputs), the model writes a parametric CAD program that is compiled, meshed and aligned to the ground truth; invalid outputs take the worst value; each general model runs with its maximum thinking budget; averaged over the output formats; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 (xHigh) | 87.5 |
| 2 | Gemini 3.1 Pro (Preview) (High) | 86.5 |
| 3 | Claude Opus 4.6 (Max) | 85 |
| 4 | Seed 2.0 Pro (High) | 72.3 |
| 5 | DeepSeek V4 Pro (Max) | 69.9 |
| 6 | Qwen 3.6 Plus (Thinking) | 66.7 |
Interactive version: theaggregate.ai/benchmark?slug=p3d-bench-text-to-3d-descriptive · How It Works · Data refreshed daily, snapshot 2026-09-29.