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Models/3D/Rodin 1.5
Hyper3D logoHyper3D·3D Generation

Rodin 1.5

View rankingshyper3d.ai
Parameters4B
ReleasedApr 2025

Rodin 1.5 (also known as Hyper3D Rodin Gen 1.5) is a native 3D generative AI model developed by Deemos Tech. Boasting over 4 billion parameters, the model is designed to generate high-quality, production-ready 3D assets directly from text prompts or 2D image references. Unlike earlier generative methods that often struggle with thin surfaces or edge sharpness, Rodin 1.5 is engineered to produce industry-standard quadrilateral mesh geometries and PBR (Physically Based Rendering) materials that are compatible with professional creative pipelines.

The model's architecture is built upon a latent diffusion transformer, a significant evolution from traditional U-Net-based diffusion models. By utilizing a latent space representation (inspired by research such as 3DShape2VecSet and Clay), it can handle complex topological details and textures. The system integrates advanced controls similar to 2D image generation, including 3D ControlNet for structural manipulation and LoRA modules for stylistic consistency. This allow users to specify mesh density—ranging from low-poly prototypes (4k faces) to high-detail assets (up to 200k faces)—and texture resolutions up to 4K.

Key Capabilities and Multi-Image Processing

Rodin 1.5 features specialized processing modes for image-to-3D tasks. Users can utilize Concat Mode to provide multiple views of a single object, allowing the model to reconstruct a consistent 3D representation with higher accuracy. Alternatively, Fuse Mode can extract and combine features from disparate objects into a single generated model. For character artists, the model supports automated T-Pose and A-Pose enforcement to facilitate immediate rigging and animation.

To achieve the best results, it is recommended to use high-quality, evenly lit source images with clear object silhouettes. In text-to-3D mode, detailed descriptive prompts help the model accurately interpret complex shapes. The model also supports HighPack texture generation for assets requiring professional-grade detail levels beyond the standard 2K output.

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How Rodin 1.5 ranks

Rodin 1.5 is highlighted in the table below. Switch the metric to see how the ordering changes.

Crafiq's community-driven 3D generation quality arena using ELO ratings from pairwise comparisons. Data from Crafiq 3D Arena

#
1
TencentTencent
Tencent
Hunyuan3D 3.1
Tencent
1,757±11038$0.16Feb 2026
2
TripoTripo
Tripo
Tripo H3.1
Tripo
1,719±13625$0.4Mar 2026
3
MeshyMeshy
Meshy
Meshy 6
Meshy
1,592±11833$0.8Oct 2025
4
MicrosoftMicrosoft
Microsoft
TRELLIS.2open weights
Microsoft
1,590±11833$0.35Dec 2025
5
Hyper3DHyper3D
Hyper3D
Rodin 2.5
Hyper3D
1,573±18214$0.4May 2026
6
TripoTripo
Tripo
Tripo P1
Tripo
1,520±13127$0.4Mar 2026
7
TencentTencent
Tencent
Pixal3Dopen weights
Tencent
1,504±18214$0.42May 2026
8
TripoTripo
Tripo
Tripo 2.5
Tripo
1,502±12032$0.4Jan 2025
9
TencentTencent
Tencent
Hunyuan3D 2.1open weights
Tencent
1,498±12032$0.16Jun 2025
10
BytedanceBytedance
Bytedance
Seed3d
Bytedance
1,498±11336$0.33Oct 2025
11
MeshyMeshy
Meshy
Meshy 5
Meshy
1,475±11833$0.4Aug 2025
12
MicrosoftMicrosoft
Microsoft
TRELLISopen weights
Microsoft
1,430±10641$0.02Dec 2024
13
Hyper3DHyper3D
Hyper3D
Rodin 2
Hyper3D
1,393±11535$0.4Oct 2025
14
TencentTencent
Tencent
Hunyuan3d 2open weights
Tencent
1,356±11038$0.08Jan 2025
15
TripoTripo
Tripo
TripoSRopen weights
Tripo
1,206±11535$0.07Mar 2024
16
TencentTencent
Tencent
Hunyuan3d 3
Tencent
—0—Sep 2025
17
Hyper3DHyper3D
Hyper3D
Rodin 1.5
Hyper3D
—0—Apr 2025
18
TencentTencent
Tencent
Hunyuan3D 2 Turbo
Tencent
—0—Mar 2025
19
TencentTencent
Tencent
Hunyuan3d 2 Mini Turboopen weights
Tencent
—0—Mar 2025
20
TencentTencent
Tencent
Hunyuan3d 2 Mini
Tencent
—0—Mar 2025
21
TripoTripo
Tripo
TripoSGopen weights
Tripo
—0—Feb 2025
22
MeshyMeshy
Meshy
Meshy 4
Meshy
—0—Aug 2024
23
TripoTripo
Tripo
Tripo 1.4
Tripo
—0—Jun 2024
24
OpenAIOpenAI
OpenAI
Shap-Eopen weights
OpenAI
—0—May 2023

Global Crafiq 3D Arena data from Crafiq 3D Arena