---
title: "OpenSCAD LLM Benchmark: Building the Pantheon"
url: https://daily.dev/posts/openscad-llm-benchmark-building-the-pantheon-awy0rhlu0
source_url: https://modelrift.com/blog/openscad-llm-benchmark
type: article
source: "Hacker News"
published: 2026-05-22T12:40:34.385Z
updated: 2026-05-22T12:41:01.170Z
tags: ["3d", "ai-coding"]
reading_time: 14
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenSCAD LLM Benchmark: Building the Pantheon

**[Hacker News](https://daily.dev/sources/hn)** · 14 min read · 0 upvotes · 0 comments

## Summary

A practical benchmark comparing six AI coding tools (Codex 5.5 High, Claude Sonnet, Claude Opus, Cursor Composer, Google Antigravity 2.0, and ModelRift) on a single task: generating a 3D model of the Pantheon in OpenSCAD from reference images. Google Antigravity 2.0 with Gemini 3.5 Flash High produced the best fully autonomous result (4.5/5), notably implementing the dome's interior coffered ceiling pattern and using real architectural measurements. ModelRift with human-in-the-loop annotation scored 3.8/5. Cursor was fastest but weakest (1.4/5). Codex showed strong spatial reasoning but suffered from a preview-to-STL export mismatch. Key takeaways: speed doesn't predict quality, tool access wasn't the bottleneck, and human visual feedback still meaningfully improves results over fully autonomous generation for complex spatial CAD tasks.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://modelrift.com/blog/openscad-llm-benchmark>

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---

Tags: [#3d](https://daily.dev/tags/3d), [#ai-coding](https://daily.dev/tags/ai-coding)

[View this post on daily.dev](https://daily.dev/posts/openscad-llm-benchmark-building-the-pantheon-awy0rhlu0)
