Alibaba’s Tongyi Lab has released Qwen-Audio-3.0-TTS, a production-oriented text-to-speech (TTS) system. The model ships in two variants from the same lineage. Flash targets real-time interaction. Plus targets high-quality generation. Both are delivered as hosted models through Alibaba Cloud Model Studio, not as downloadable weights.
The release focuses on four things developers hit in production: broader language coverage, natural-language style control, fine-grained tag control, and robustness when the reference audio is not clean. Qwen-Audio-3.0-TTS-Plus also ranks first on the independent Artificial Analysis Text-to-Speech leaderboard.
Two variants, one lineage
The two tiers map to different jobs. Flash is tuned for real-time interaction, with first-packet latency at the 300 ms level. Plus is tuned for high-quality generation, where naturalness and timbre fidelity matter more than speed.
The model IDs are qwen-audio-3.0-tts-flash and qwen-audio-3.0-tts-plus. Both are called over a bidirectional WebSocket streaming protocol. The API supports PCM, WAV, MP3, and Opus, with sample-rate output up to 48 kHz. It exposes streaming input and output, voice cloning, Voice Design, and instruction control. Alibaba provides the DashScope SDK plus raw WebSocket examples in Python, Java, Go, C#, PHP, and Node.js, across its Singapore and Beijing regions.
