[KongchangAI]
Company

Meshy

A company offering commercial 3D generation products, with API services as its core business model. It is one of the principal players in the commercial 3D generation market alongside Tripo and others.

Core Facts

Timeline (last 90 days)

Oct 12

On a 12 Mbps mobile network, downloading the 69.18 MB Meshy file takes about 46 seconds, while the 11.17 MB SupaVoxel file takes about 7 seconds.

Unverified50%
Oct 12

In the test, SupaVoxel's generation time was recorded as 304.808 seconds, while Meshy's generation time was not recorded; Meshy consumed 35 credits and SupaVoxel consumed 3 credits, but these belong to different plans and units and do not constitute a price comparison.

Unverified50%
Oct 12

Both tools did not blur the four right angles of the graduation cap in the top-down view, performing comparably.

Unverified50%
Oct 12

Estimated at a standard layout of 32 bytes per corner and 4 bytes per triangle index, Meshy's geometry requires about 61.17 MB of memory and SupaVoxel's about 46.50 MB, a gap of about 14.67 MB.

Unverified50%
Oct 12

The graduation-monkey files generated by both tools contain zero skeletons and zero animation clips, so they cannot directly blink, wave or speak.

Unverified50%
Oct 12

Meshy's GLB file has an empty extensions list and can be opened without any decoder; SupaVoxel's compressed file declares two extensions, meshopt and quantization.

Unverified50%
Oct 12

SupaVoxel's face model has a subtle seam at the boundary between the bridge of the nose and the cheek, while Meshy has no visible seam.

Unverified50%
Oct 12

Under the same crop box and viewpoint, the 586,096 extra triangles in Meshy brought no visible advantage in the face crop comparison.

Unverified50%
Oct 12

The Meshy model used 2,086,002 triangles and SupaVoxel used 1,499,906 triangles, with Meshy having 586,096 more triangles.

Unverified50%
Oct 12

In the author's independent tests, Meshy scored 59/100 and SupaVoxel scored 89/100, with the scoring difference coming mainly from engineering efficiency rather than the models' visual appearance quality.

Unverified50%

22 more timeline events

All Facts (20)

Verified

Some studios have already begun using AI to generate game assets, write dialogue, and assist with level design.

75%
Unverified

This test did not record failures or retry counts, and Meshy's generation time was not captured, so there is no speed comparison data.

50%
Unverified

In this image-to-3D comparison on the same Voronoi eggshell image, Meshy scored 61 and SupaVoxel scored 90; the scores are subjective and apply only to this task.

50%
Unverified

Both Meshy and SupaVoxel can export in GLB format, with geometry and images packaged in the same file.

50%
Unverified

In this test, the Meshy exported model had 779,020 triangles, while SupaVoxel had 1,500,000.

50%
Unverified

In this test, the Meshy exported model had 424,152 corners, while SupaVoxel had 865,508.

50%
Unverified

At a height of 120mm, the Meshy model's average edge length was 0.306mm, while SupaVoxel's was 0.295mm.

50%
Unverified

After cleanup, both the Meshy and SupaVoxel models are fully closed, with zero open edges, no non-manifold edges, consistent surface orientation, and each being a single connected shell.

50%
Unverified

Before cleanup, Meshy reported 67,946 loose edges and SupaVoxel reported 225,446, all of which disappeared after merging vertices at the same positions.

50%
Unverified

In this test, the Meshy exported file size was 27,408,396 bytes, while SupaVoxel's was 9,044,340 bytes.

50%
Unverified

In this test, Meshy's color image was 1,658,610 bytes and SupaVoxel's was 519,966 bytes, with Meshy having about three times the color data.

50%
Unverified

In this test, the Meshy model had 419 stretched slender triangles and SupaVoxel had 2,849; Meshy had no degenerate near-zero-area faces, while SupaVoxel had two.

50%
Unverified

Meshy's GLB declares no required extensions, while SupaVoxel's compressed GLB declares EXT_meshopt_compression and KHR_mesh_quantization, requiring a decoder.

50%
Unverified

In the author's independent tests, Meshy scored 59/100 and SupaVoxel scored 89/100, with the scoring difference coming mainly from engineering efficiency rather than the models' visual appearance quality.

50%
Unverified

Under the same crop box and viewpoint, the 586,096 extra triangles in Meshy brought no visible advantage in the face crop comparison.

50%
Unverified

Both tools did not blur the four right angles of the graduation cap in the top-down view, performing comparably.

50%
Unverified

In the test, SupaVoxel's generation time was recorded as 304.808 seconds, while Meshy's generation time was not recorded; Meshy consumed 35 credits and SupaVoxel consumed 3 credits, but these belong to different plans and units and do not constitute a price comparison.

50%
Unverified

The graduation-monkey files generated by both tools contain zero skeletons and zero animation clips, so they cannot directly blink, wave or speak.

50%
Unverified

SupaVoxel's face model has a subtle seam at the boundary between the bridge of the nose and the cheek, while Meshy has no visible seam.

50%
Unverified

Meshy's GLB file has an empty extensions list and can be opened without any decoder; SupaVoxel's compressed file declares two extensions, meshopt and quantization.

50%

Source Articles