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Parametric CAD Bench

Parametric CAD Bench is a new benchmark for AI agents to author editable FreeCAD models from natural language. It uses a multi-step agentic loop and an editability gate (harmonic mean scoring) to ensure functional engineering recipes. GPT-5.5 via Codex leads at 0.832, with a visible harness effect. Per-cell costs range from $3 to $170, showing a wide cost-quality frontier.

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Parametric CAD Bench
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

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Key points

  • Measures AI agents' ability to generate editable FreeCAD models from natural language descriptions.
  • Scoring via harmonic mean of geometry similarity and CAD spec consistency, enforcing editability.
  • GPT-5.5 via Codex tops at 0.832; harness effect shifts scores ~10%.
  • Cost ranges from $3 to $170 per trial; top score not always best value.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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