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Qwen3-TTS
Qwen3-TTS generates speech, supports voice design, and includes voice cloning capabilities.

About Qwen3-TTS
Qwen3-TTS is an open-source series of text-to-speech models developed by the Qwen team at Alibaba Cloud. The repository documents released 0.6B and 1.7B models built on the Qwen3-TTS-Tokenizer-12Hz tokenizer, covering speech generation, voice design from free-form descriptions, voice cloning, and natural-language control over tone, speaking rate and emotional expression. A single model handles both streaming and non-streaming generation, with the project citing end-to-end synthesis latency as low as 97 ms.
The models cover ten languages — Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish and Italian — along with multiple dialectal voice profiles. Usage paths listed in the repository include a Python package, a local web UI demo, the DashScope API and vLLM, together with fine-tuning material. Pricing is not stated on the homepage, and no safeguards or consent requirements for voice cloning are described there.
Key features
- Streaming and non-streaming speech generation from one model
- Voice design from free-form user-provided descriptions
- Voice cloning capability
- Instruction control of timbre, emotion and prosody
- Ten languages plus multiple dialectal voice profiles
- Python package, local web UI demo, DashScope API, vLLM usage
- Open-source model series released by the Qwen team at Alibaba Cloud
- Covers ten languages as well as multiple dialectal voice profiles
- One model supports streaming and non-streaming generation with reported latency as low as 97 ms
- No pricing information is stated on the homepage
- Other models mentioned in the technical report are described as not yet released
- The homepage does not describe safeguards or consent requirements for voice cloning
Qwen3-TTS at a glance
- Website
- github.com/QwenLM/Qwen3-TTS
- Category
- AI & Machine Learning › AI Voice Cloning
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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