OpenAI
This page is auto-generated from model configurations. Last updated: 2026-09-25.
This reference lists all available OpenAI 3d generation models and their parameters. Use these parameter names when calling the Generation API.
Scenario GPT-6 Astra 3D
Section titled “Scenario GPT-6 Astra 3D”Turn reference images into an editable 3D object — named parts, clean topology, per-part materials. Best for props and hard-surface subjects, not characters.
Model ID: model_scenario-gpt6-astra-3d
Capabilities: img23d
LLM Markdown: https://app.scenario.com/api/models/model_scenario-gpt6-astra-3d/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
images |
file_array | Yes | - | - | - | - | 1 to 8 photos or renders of one object. The first image sets the viewpoint the result is checked against; extra views help with the unseen sides. |
prompt |
string | No | - | - | - | - | Name the object in a few words, e.g. ‘a tugboat’. Worth filling in when the reference has clutter or more than one object in it, so the model knows which one to build. |
buildEffort |
string | No | maximum |
- | - | standard, high, maximum |
How much work goes into modeling the object. Use High or Maximum for mechanical or detailed subjects; Standard is faster and cheaper for simple shapes. |
refineSteps |
number | No | 7 |
0 | 10 | - | Maximum correction passes. The run stops on its own once the result stops improving; a lower cap saves cost but can cut it off before that point. |
faceBudget |
number | No | 250000 |
1000 | - | - | Hard cap on the delivered model’s triangle count, applied at export. 10k–50k for game-ready assets; 250k keeps fine detail. |