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Models/3D/Tripo P1
Tripo logoTripo·3D Generation

Tripo P1

Use in CrafiqView rankingstripo3d.ai
Crafiq Arena#6
ReleasedMar 2026

Tripo P1 is a 3D generation model developed by Tripo AI, designed to create production-ready, low-polygon 3D meshes natively in three-dimensional space. Built specifically to support real-time workflows in game development, augmented and virtual reality (AR/VR), and immersive media, the model addresses common industry bottlenecks by eliminating the need for extensive manual retopology. Tripo P1 focuses on generating structured meshes with human-like edge flows and clean topology, bypassing the unstructured "noodle" geometries and 2D-to-3D lifting artifacts often produced by earlier generative systems.

At the core of Tripo P1's architecture is a native 3D diffusion approach that operates within a unified probabilistic spatial framework. Instead of predicting geometry sequentially or relying on intermediate language-style token predictions, the model resolves the global structure of an object holistically. This allows for stable, engine-compatible meshes with efficient polygon budgets typically ranging from 48 to 20,000 faces. Because of this holistic spatial modeling, Tripo P1 is capable of achieving extremely fast generation times, producing downloadable, game-ready assets in as little as two to five seconds.

Tripo P1 supports multi-input generation, allowing users to create assets from text prompts, single reference images, or multi-view photos. Alongside its geometric capabilities, the model can synthesize full Physically Based Rendering (PBR) materials—including base color (albedo), metallic, roughness, and normal maps—or output geometry without materials depending on the user's needs. By prioritizing structural stability and clean edge loops, the model outputs meshes that are optimized for rigging, animation, and real-time rendering pipelines.

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How Tripo P1 ranks

Tripo P1 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