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LatestQwen · Alibaba3
Qwen · AlibabaText → Speech

Qwen Releases Open-Source Voice Cloning Model

The new 600-million-parameter Qwen3-TTS model can generate speech in multiple languages and clone voices from short audio clips.

Jan 21, 2026
NotableApache 2.0
Qwen3-TTS 0.6B Base

The Qwen team, part of Alibaba, has released a new open-source model for generating human-like speech. Named Qwen3-TTS, this initial release is a 600-million-parameter base model designed for text-to-speech (TTS) applications, making another powerful generative audio tool available to developers.

The model's key capabilities are its multilingual support and its capacity for voice cloning. This allows it to not only generate speech in various languages but also to mimic a specific person's voice using only a short audio sample as a reference. This feature, often called zero-shot voice cloning, is a significant capability for creating custom voice assistants, dynamic audio content, and accessibility tools.

A Permissive Foundation

Released under the permissive Apache 2.0 license, Qwen3-TTS provides a strong alternative to proprietary text-to-speech APIs. Its open nature encourages experimentation and allows developers to build upon it without restrictive licensing, fostering innovation in the open-source AI audio space.

The model, officially designated Qwen3-TTS-12Hz-0.6B-Base, is available now for download and use. As a "base" model, it serves as a solid foundation intended for further fine-tuning on specific tasks or voices to achieve higher quality and more specialized outputs.

Sources

  • Qwen/Qwen3-TTS-12Hz-0.6B-Base

    Hugging Face

    Visit
OlderQwen Releases a Compact Custom-Voice TTS ModelQwen · Alibaba · Text → Speech · 9 months agoNewerMicrosoft Releases VibeVoice for Speech TranscriptionMicrosoft · Speech → Text · 9 months ago

Get the model

Hugging Face

Specs

Parameters600M
Languages10 languages
Size1.8 GB
PrecisionBF16
ArchitectureQwen3TTSForConditionalGeneration
LicenseAPACHE-2.0
Downloads744.5K
Likes360

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    Any modern laptop · 8 GB RAM

    2.8 GB
  • FP8

    Any modern laptop · 8 GB RAM

    1.9 GB
Your machine

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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