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News Aug 12, 2025 ◆ Jennifer Jang ◆ 7 min read

An open-source foundation model for parametric CAD

Introducing BELLA-v1.0-13B: weights, evals, and what it can and can't build yet.

Today we are releasing BELLA-v1.0-13B, an open-source foundation model that generates fully parametric, editable CAD from text and image prompts. Weights, evaluation code, and the benchmark harness are available now.

What BELLA is

BELLA is a 13B-parameter vision-language model fully fine-tuned on our parametric CAD corpus. It does not output meshes or images. It outputs feature trees: sketches, constraints, extrusions, revolves, and patterns that open directly in standard CAD tools and remain editable.

Evaluations

On the same benchmark we used to evaluate GPT-5, BELLA-v1 substantially outperforms much larger general-purpose models.

Model
Params
IoU
BELLA-v1.0
13B
0.68
GPT-5
undisclosed
0.41
LLaVA 1.6 (full FT)
34B
0.75
+66% relative improvement in mean IoU over GPT-5, at a fraction of the parameter count.
BELLA-v1.0-13B beats the SOTA and GPT-4 on various 3D generation tasks
Fig. 1 — BELLA-v1.0-13B against prior state of the art and GPT-4 across 3D generation tasks.

What it can't build yet

  • Large assemblies — multi-body models beyond ~20 parts degrade quickly.
  • Freeform surfaces — BELLA is trained on prismatic, engineering-style geometry; lofts and organic surfacing are out of distribution.
  • Tight tolerancing — dimensions are usually right, but GD&T-level intent is not yet modeled.

Why open source

Our LoRA experiments convinced us that real progress in 3D reasoning requires full fine-tuning, open weights, and honest evals the community can reproduce. BELLA is the first step: use it, break it, and tell us where the geometry fails.

Get the model

Weights and the eval harness are available on request while we finalize hosting. Email [email protected] and we will send you the checkpoint.

Jennifer Jang
Jennifer Jang
Founder, StoryGold

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