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Qwen3-TTS Review

OSS

Genuinely open weights (confirmed - not API-only since the Jan 2026 release): Apache-2.0 checkpoints on Hugging Face with an Alibaba Cloud DashScope API for hosted use.

Among the 46 text-to-speech tools we track, Qwen3-TTS has the 25th-widest language coverage.

See pricing

Facts verified Jul 20, 2026Website →

What we know about Qwen3-TTS

Qwen3-TTS is a text-to-speech apis platform: genuinely open weights (confirmed - not API-only since the Jan 2026 release): Apache-2.0 checkpoints on Hugging Face with an Alibaba Cloud DashScope API for hosted use. This profile tracks every Qwen3-TTS fact we have verified, each linked to a primary source and dated.

Qwen3-TTS does not publish a public per-minute rate we have been able to verify, so the price figure here stays blank until we can confirm one. We would rather show nothing than a guessed number; if you have a current Qwen3-TTS quote, it is the fastest way for us to close that gap.

On capabilities, Qwen3-TTS covers streaming audio output, instant voice cloning, emotion / style controls, and self-host / on-prem option. Each of those is verified against Qwen3-TTS's own docs or dashboard, not marketing copy.

Qwen3-TTS ranks the 25th-widest language coverage of the 46 text-to-speech tools we track, so where it lands for you depends on which of those matters more.

In total we track 11 verified facts for Qwen3-TTS today, each linking the primary source it came from so you can check our work - and vendor claims we have not measured ourselves are labeled as such on the Qwen3-TTS fact sheet below.

Reviewed by vsref Editorialfacts verified Jul 20, 2026Methodology →

Fact sheet

Capabilities
Capabilities facts
Streaming audio output✓ YesJul 20
Instant voice cloning✓ YesJul 20
Languages supported10 languagesJul 20
Emotion / style controls✓ YesJul 20
Compliance & trust
Compliance & trust facts
Self-host / on-prem option✓ YesJul 20
Model weights licenseApache-2.0Jul 20
Build experience
Build experience facts
Official SDKsHugging Face TransformersJul 20
Commercial
Commercial facts
Model size (parameters)0.6B and 1.7B (variants: Base, CustomVoice, VoiceDesign)Jul 20
Hosted API availableYesJul 20
Project maintenance statusactiveJul 20
GitHub stars12,500 starsJul 20

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STT in this stack

Text-to-speech is half of a voice pipeline: the other half is the speech-to-text that listens. Compare transcription engines on accuracy, streaming latency, and per-minute price: Deepgram, AssemblyAI, GPT-4o Transcribe, or the full speech-to-text comparison →

Voice agents in this stack

The engine is one layer: a voice agent speaks through its text-to-speech engine, but orchestration, telephony, and turn-taking come from the agent platform. Compare the platforms builders pair Qwen3-TTS with: Pipecat, OpenAI Realtime API, Twilio ConversationRelay, or the full voice-agent comparison →

Distribute it

Most Qwen3-TTS voiceover ends up in short-form video, and publishing that video across TikTok, YouTube, and Instagram is a scheduling problem with real per-channel pricing. Compare the schedulers creators actually run: Buffer, Postiz, Mixpost, or the social media scheduling platforms compared →

Avatar video in this stack

A cloned or bring-your-own Qwen3-TTS voice does not have to stay audio-only: AI avatar video platforms lip-sync it onto a talking avatar for finished video. Compare the platforms: HeyGen, Synthesia, Hedra, or the full avatar-video comparison →