# QwenLM/Qwen3-Omni

<https://repo.masters-masters.com/en/repos/QwenLM/Qwen3-Omni>

[Home](https://repo.masters-masters.com/en) › [QwenLM](https://repo.masters-masters.com/en/owners/QwenLM) › [Qwen3-Omni](https://repo.masters-masters.com/en/repos/QwenLM/Qwen3-Omni)

QwenLM/Qwen3-Omni has 4,094 stars on GitHub. Its RepoMasters card: RC tier. Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at…

| Field | Value |
| --- | --- |
| Owner | [QwenLM](https://repo.masters-masters.com/en/owners/QwenLM) |
| Stars | 4,094 |
| Forks | 318 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2025 |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [QwenLM/Qwen3-Omni](https://github.com/QwenLM/Qwen3-Omni) |

## Repository

Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.