Meshy vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Meshy compared with Linum
| Detail | 
Meshy | 
Linum |
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| What it does | AI 3D model generator that turns text and images into production-ready 3D models in seconds
| Generative video models for animation
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| Stage | Not given
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| Founded | 2023
| Not given
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| Based in | US
| US
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| Pricing model | Freemium
| Not given
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| Pricing | Not given
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| Key features | - Text to 3D generation from prompts
- Image to 3D conversion from photos and sketches
- Smart remeshing for clean topology
- Export to multiple 3D formats: FBX, OBJ, GLB, STL
- 3D printing optimization with watertight, manifold models
- Multi-view image to 3D with 2-8 reference images
- 3D Agent for iterative batch generation
- Low-poly generation for real-time game performance
| - Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
- 4× more aggressive token reduction than Linum v2
- Converges in 11× fewer samples than Linum v2
- 2B-parameter model with frozen Qwen text encoder
- Pixel-space diffusion with multi-resolution readouts
- PixelREPA alignment with DINOv3-L
- Curriculum learning over noise schedule
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| What makes it different | - Generates production-ready 3D models in under a minute without requiring 3D modeling experience
- Built-in plugins for Unity, Unreal Engine, Blender, and other major creative software
- Commercial licensing available on paid plans for game development, 3D printing, and product sales
| - Low-cost training: full 2B model trained for just $21K in compute
- Controls baked into model training rather than post-hoc fine-tuning
- Pixel-space compression without separate VAE bottleneck
- Apache 2.0 open release with full model weights and code
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 77 ● no change since last check | 44 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 24 | 5 |
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| Citation Flow (Majestic) | 45 | 32 |
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| Referring domains (Majestic) | 5328 | 397 |
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4 details filled in for both companies.
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