---
title: "ChatTTS vs LLaMA-Omni"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-ictnlp-llama-omni"
tools: ["2noise-chattts", "ictnlp-llama-omni"]
---

# ChatTTS vs LLaMA-Omni

Neutral, constraint-first comparison with live GitHub stats.

| | [ChatTTS](/tools/2noise-chattts.md) | [LLaMA-Omni](/tools/ictnlp-llama-omni.md) |
| --- | --- | --- |
| Tagline | A generative speech model for daily dialogue | LLaMA-Omni is a speech interaction model built upon Llama-3.1-8B-Instruct, allowing for seamless low-latency speech-to-speech and speech-to-text interactions. |
| Stars | 39,577 | 3,141 |
| Forks | 4,249 | 223 |
| Open issues | 63 | 52 |
| Language | Python | Python |
| License | AGPL-3.0 | Apache-2.0 |
| Categories | LLM Frameworks, Speech & Audio | Speech & Audio |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=2noise-chattts`](/api/graphcanon/graph?tool=2noise-chattts)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_