---
title: "TRELLIS 2 Review (2026) - Ratings, Output Quality & Pricing - AI Software Review"
name: "TRELLIS 2"
slug: "trellis-2"
canonical_url: "https://www.aisoftwarereview.org/reviews/trellis-2/"
category: "AI 3D Modeling & Animation"
category_slug: "ai-3d-modeling-animation"
website_url: "https://trellis-2.com"
pricing_model: "Open Source"
starting_price: "Free / Open Weights"
total_score: 8.8
tier: "Great"
ratings:
  output_quality: 8.9
  total_value: 9.2
  feature_depth: 8.7
  ease_of_use: 7.9
last_updated: "2026-03"
---

# TRELLIS 2 - AI Software Review & Benchmark

> **State-of-the-art open research model by Microsoft for structured 3D asset generation with crisp geometry.**

- **Composite Score:** **8.8 / 10** (Great)
- **Category:** [AI 3D Modeling & Animation](https://www.aisoftwarereview.org/categories/ai-3d-modeling-animation/)
- **Pricing:** Open Source (Starting at Free / Open Weights)
- **Official Website:** [https://trellis-2.com](https://www.aisoftwarereview.org/r/trellis-2/)
- **Evaluated:** 2026-03 (Independent Review • Zero Pay-to-Play)

---

## Evaluation Scorecard

Our composite ratings weight real-world **Output Quality (35%)** and **Total Value (35%)** above venture hype.

| Evaluation Metric | Weight | Score | Description |
| :--- | :---: | :---: | :--- |
| **Output Quality** | **35%** | **8.9 / 10** | Accuracy, prompt adherence, coherence, and production readiness of outputs |
| **Total Value** | **35%** | **9.2 / 10** | Transparent pricing, unit economics, free tier utility, and ROI |
| **Feature Depth** | **15%** | **8.7 / 10** | Enterprise controls, API ecosystem, integrations, and workflow customization |
| **Ease of Use** | **15%** | **7.9 / 10** | UI responsiveness, onboarding ergonomics, documentation, and user friction |
| **Overall Composite Score** | **100%** | **8.8 / 10** | **Great** |

---

## Verdict & Editorial Summary

One of the most impressive open-weights 3D generation models developed, delivering crisp, non-blobby geometry.

---

## Overview & Field Findings

TRELLIS by Microsoft Research represents a major leap in open 3D generation, producing sharp, well-defined geometric edges and clean textures from a single 2D image.

---

## Key Features & Capabilities

- Structured Latent 3D Representation yielding crisp geometric edges
- Unmatched preservation of input image colors and fine details
- Open weights available for research and local GPU execution

---

## Pricing & Commercial Terms

100% free open-source research weights available on Hugging Face and GitHub.


### Pricing Plans Breakdown

| Plan Name | Price | Billing Cycle | Highlights |
| :--- | :--- | :--- | :--- |
| **Open Weights** | $0 | forever | High-fidelity geometry; Structured representation; Run locally or via API |


---

## Pros & Cons

### Strengths
- **+** Produces sharp, crisp geometry unlike older muddy NeRF models
- **+** Completely free open research model
- **+** Outstanding fidelity to the input 2D image

### Trade-offs & Limitations
- **-** Requires technical developer knowledge to set up locally on high-end GPUs

---

## Deployment Recommendations

### Ideal For
- AI researchers, 3D technical artists, and game development studios

### Not Recommended For
- Non-technical users wanting a simple mobile smartphone app

---

*Published by AI Software Review ([www.aisoftwarereview.org](https://www.aisoftwarereview.org/)). All ratings are determined by standardized prompt testing without commercial compensation or pay-to-play sponsorships.*