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glb1.3 KB

GLB — glTF 2.0 Binary Cube

A 10 mm cube as binary glTF (GLB) — the dominant modern format for 3D on the web and in AR, with per-face normals packed into one self-contained file. Powers the interactive 3D preview on this site; for testing glTF loaders and conversion.

Loading 3D preview…

Specifications

Format
glTF 2.0 binary (GLB)
Solid
10 mm cube
Triangles
12
Vertices
24
Units
mm
Normals
per-face
Self Contained
true

What is a .glb file?

GLB is the binary form of glTF, packaging 3D scene geometry, materials, textures, animations, and node hierarchy into a single self-contained file. It is optimized for efficient runtime loading and is often called the JPEG of 3D. It is widely used in web, AR, and real-time 3D applications.

How to use this file

Use an example GLB to test glTF loaders, embedded-texture and animation handling, and real-time rendering pipelines in web or game engines.

How to use this file for testing

“GLB — glTF 2.0 Binary Cube” is a deterministic Novus Examples fixture for Conversion testing. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.

Documented properties for this file: glTF 2.0 binary (GLB). Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

3D and CAD fixtures carry one small, documented solid or scene. Convert and inspect against the known geometry, units, and structure; format twins let you diff interchange fidelity, and the 3D viewer previews the actual mesh.

Code examples

import trimesh  # pip install trimesh

mesh = trimesh.load("cube.glb")
print(mesh.bounds, mesh.faces.shape)

Generated by generation/models.py. Free for any use, no attribution required — license.