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Models/3D/Hunyuan3D 2.1
Tencent logoTencent·3D GenerationOpen weights

Hunyuan3D 2.1

View rankingsHugging Facegithub.com
Crafiq Arena#9
ReleasedJun 2025

Hunyuan3D-2.1 is an industrial-grade, fully open-source 3D asset generation system developed by Tencent. Released in June 2025, it represents a significant advancement in the Hunyuan3D series by providing a comprehensive, full-chain open-source framework. The system enables the creation of high-fidelity 3D assets from single images or text prompts, releasing not only the model weights but also the training code and data processing pipelines to the public.

The model architecture consists of two primary components working in tandem: Hunyuan3D-DiT for shape generation and Hunyuan3D-Paint for texture synthesis. The shape generation stage uses a flow-based diffusion transformer combined with a high-fidelity mesh autoencoder (ShapeVAE) that leverages surface importance sampling to capture complex geometric details. The texture stage employs a mesh-conditional multi-view diffusion model that ensures view consistency and detail alignment across the generated asset.

A defining feature of version 2.1 is its Physically-Based Rendering (PBR) material synthesis. Unlike previous iterations that generated standard RGB textures, this version produces multi-channel maps—including albedo, normal, metallic, and roughness—consistent with the Disney Principled BRDF model. This capability significantly improves visual realism under varying lighting conditions, allowing for photorealistic light interaction within professional rendering engines like Unreal Engine and Blender.

Prompting and Best Practices

For the highest quality results, users are advised to provide reference images with clearly defined subjects and clean backgrounds; the model also includes a built-in background removal feature to assist with this process. A Guidance Scale in the range of 5.0 to 7.5 is recommended to balance adherence to the input image with geometric accuracy. Additionally, increasing the Step Count to 30 or more can significantly improve the resolution and clarity of the generated textures and materials.

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How Hunyuan3D 2.1 ranks

Hunyuan3D 2.1 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