Audience
Researchers who need a model for expressive, multilingual, controllable, and streaming voice generation in applications like voice assistants, dubbing, accessibility, and creative audio synthesis
About Qwen3-TTS
Qwen3-TTS is an open source series of advanced text-to-speech models developed by the Qwen team at Alibaba Cloud under the Apache-2.0 license, offering stable, expressive, and real-time speech generation with features such as voice cloning, voice design, and fine-grained control of prosody and acoustic attributes. The models support 10 major languages, including Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian, and multiple dialectal voice profiles with adaptive control over tone, speaking rate, and emotional expression based on text semantics and instructions. Qwen3-TTS uses efficient tokenization and a dual-track architecture that enables ultra-low-latency streaming synthesis (first audio packet in ~97 ms), making it suitable for interactive and real-time use cases, and includes a range of models with different capabilities (e.g., rapid 3-second voice cloning, custom voice timbres, and instruction-based voice design).
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Simba 3.2
Speechify’s text-to-speech API offers a family of Simba models for real-time voice generation across English, European languages, and broader multilingual use cases. Simba 3.2 is recommended for new English integrations, providing streaming-native synthesis, the lowest time to first byte, richer expressivity than earlier generations, and full support for SSML and emotion control. Simba 3.0 extends streaming-native speech to English, German, Spanish, French, Italian, and Brazilian Portuguese, with language selection handled through the request or voice locale. Simba Multilingual supports 35 locales across 30 languages, including mixed-language content and automatic language detection, while Simba English remains available as a legacy model for compatibility. Developers select a model through one parameter and can switch without changing the rest of the request structure, including voice, format, and SSML settings.
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Qwen-Audio-3.0-TTS-Flash
Qwen-Audio-3.0-TTS-Flash is the real-time variant of Qwen-Audio-3.0-TTS, tuned for interactive applications with first-packet latency at the 300 ms level. It supports 16 languages, along with improved fidelity for several Chinese dialects. Across multilingual evaluations, Flash delivers the lowest average WER/CER in the family at 3.87, showing strong intelligibility while preserving speaker identity across diverse languages. Developers can guide delivery with plain-language instructions instead of manually adjusting acoustic parameters, controlling emotion, role, scenario, pace, projection, and tone through simple prompts. Inline tags add precise non-verbal details, making the model well-suited to conversational agents, narration, games, dubbing, and other expressive speech experiences. Voice cloning is designed to work with imperfect reference audio; targeted acoustic simulation suppresses noise and reverberation while retaining the original speaker’s timbre.
Learn more about Qwen-Audio-3.0-TTS-Flash
MAI-Voice-2
MAI-Voice-2 is Microsoft AI’s most expressive and natural-sounding text-to-speech model to date, built for production voice experiences where fidelity, language coverage, speaker consistency, and emotional range directly shape the user experience. It is designed for assistants, customer support, audiobooks, accessibility experiences, games, podcasts, courses, simulations, and creator workflows where voice quality must sound natural, fluid, and trustworthy. It expands from English-only support to 15 languages while maintaining naturalness and expressiveness, with support for English, Italian, French, German, Hindi, Spanish, Portuguese, Korean, Chinese, Turkish, Russian, Thai, Dutch, Romanian, and Hungarian. MAI-Voice-2 offers granular emotion control through tags such as sad, whispered, and excited, along with role-based expressive speech for experiences like motivational trainers, sports commentators, or character voices.
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Qwen-Audio-3.0-TTS-Plus
Qwen-Audio-3.0-TTS-Plus is the high-quality variant of Qwen-Audio-3.0-TTS, optimized for naturalness and timbre fidelity when output quality matters more than speed. It supports 16 languages, plus improved fidelity for several Chinese dialects. The model delivers strong multilingual intelligibility and ranks first in speaker similarity across all supported languages, helping cloned voices remain recognizable and consistent across linguistic contexts. Developers can direct delivery through ordinary natural-language instructions instead of manually tuning acoustic parameters, controlling emotion, role, scenario, pacing, projection, and tone with simple prompts. Inline tags provide fine-grained control over breaths, laughter, emotional shifts, and other non-verbal details, making the model useful for narration, games, character dialogue, and dubbing.
Learn more about Qwen-Audio-3.0-TTS-Plus
Pricing
Starting Price:
Free
Free Version:
Free Version available.
Company Information
Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen3-TTS
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online
Qwen3-TTS Frequently Asked Questions
Q: What kinds of users and organization types does Qwen3-TTS work with?
Qwen3-TTS works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Qwen3-TTS support in their product?
Qwen3-TTS supports these languages: English.
Q: What kind of support options does Qwen3-TTS offer?
Qwen3-TTS offers support via online.
Q: What other applications or services does Qwen3-TTS integrate with?
Qwen3-TTS integrates with: Alibaba Cloud, OpenClaw, and Qwen.
Q: Does Qwen3-TTS have an API?
Yes, Qwen3-TTS has an API.
Q: What type of training does Qwen3-TTS provide?
Qwen3-TTS provides training in the form of documentation and live online.
Q: How much does Qwen3-TTS cost?
Pricing for Qwen3-TTS starts at Free.
