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Models/3D/Hunyuan3d 2 Mini
Tencent logoTencent·3D Generation

Hunyuan3d 2 Mini

View rankingsHugging Facegithub.com
Parameters0.6B
ReleasedMar 2025

Hunyuan3D 2 Mini is a lightweight generative 3D model developed by Tencent, released as an efficient alternative within the Hunyuan3D 2.0 ecosystem. It is designed to transform single-view images, sketches, or text descriptions into high-resolution 3D assets. The "Mini" variant is specifically optimized for resource-constrained environments, featuring a reduced parameter count that allows it to operate on consumer-grade hardware with approximately 5GB to 6GB of VRAM.

The model utilizes a two-stage generation pipeline to decouple the challenges of shape and texture synthesis. In the first stage, a flow-based diffusion transformer (Hunyuan3D-DiT) with 0.6 billion parameters generates an untextured geometric mesh. This stage focuses on architectural accuracy and alignment with the input condition. The second stage utilizes Hunyuan3D-Paint to apply high-fidelity texture maps, supporting PBR (Physically Based Rendering) materials to ensure consistent lighting and realistic material properties.

Despite its compact size, Hunyuan3D 2 Mini maintains competitive performance in geometric precision and topology. It can produce 3D models in roughly 10 to 25 seconds, making it suitable for rapid prototyping in game development, virtual reality, and digital content creation. The model is part of a larger family that includes "Turbo" versions, which leverage the FlashVDM framework for even faster inference speeds.

Technical Features

  • Multi-modal Input: Supports text-to-3D, image-to-3D, and sketch-to-3D workflows.
  • Architecture: Employs a scalable flow-based diffusion transformer for shape generation and a multi-view diffusion model for texture synthesis.
  • Efficiency: Optimized to run on significantly lower VRAM compared to the standard 1.1B parameter version, lowering the barrier for 3D asset generation.

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How Hunyuan3d 2 Mini ranks

Hunyuan3d 2 Mini 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