Kyutai
Kyutai.org offers cutting-edge, open-source AI tools focused on real-time voice, speech, and multilingual interaction. Their flagship models include Moshi, a low-latency voice assistant that can listen and respond simultaneously, and Hibiki, a speech-to-speech translator that preserves the speaker’s voice and tone across languages. Designed for seamless, natural communication, these tools integrate speech recognition, language understanding, and text-to-speech technologies. Built with transparency and accessibility in mind, Kyutai’s tools empower developers and researchers to build more ethical, interactive, and multilingual AI experiences.
On this page
contact@kyutai.org
Address
16 rue de la ville l\\\\\\\'évêque, 75008 Paris, France
Founded
2023
Founder
Xavier Niel, Rodolphe Saadé and Eric Schmidt
CEO
Patrick Perez
About Kyutai
Everything to know about Kyutai: From founders, to reviews, and subscription cost.
Kyutai.org is an open-science AI research lab founded in France in 2023 with strong backing from industry leaders Xavier Niel, Rodolphe Saadé, and Eric Schmidt. As a nonprofit initiative, Kyutai is dedicated to advancing cutting-edge artificial intelligence through full transparency and open-source development. Under the leadership of CEO Patrick Pérez, Kyutai focuses on voice, speech, and multilingual technologies, releasing models like Moshi and Hibiki to the public. Their mission is to democratize AI innovation and make powerful tools available to all.
Conversational Voice AI, trained to speak your business.
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All Kyutai Products
Kyutai's Product Categories
AI Dubbing
AI Text To Speech
AI Voice Changer
AI Voice Cloning
Pricing
Here's a simple look at how much Kyutai cost. It has free options so you can try them out!
Pricing information not available at the moment.
Prices are estimates and can change, so always check their official websites for the latest info!
Features
Discover the key features that make Kyutai stand out.
| Feature | What it unlocks |
|---|---|
| Full-Duplex Voice Interaction | Kyutai’s model Moshi supports real-time, full-duplex conversations, meaning it can listen and speak simultaneously, enabling seamless human-like dialogue. |
| Open-Source AI Models | All tools and research by Kyutai are released as open-source, allowing anyone to inspect, modify, or build upon their technologies without restrictions. |
| Voice-Preserving Translation | Hibiki, Kyutai’s speech-to-speech translator, maintains the speaker’s original voice and tone while translating to another language in near real time. |
| Integrated AI Pipeline | Moshi combines ASR (Automatic Speech Recognition), LLM (Language Modeling), and TTS (Text-to-Speech) into a single, unified system for faster response and better integration. |
Use Cases
See the top Kyutai use cases and interesting ways you can use Kyutai
| Real-Time Voice Assistants | Moshi enables highly responsive, full-duplex voice assistants that can listen and speak simultaneously—perfect for smart devices, kiosks, and customer support bots. |
| Live Speech Translation | With Hibiki, users can translate speech from one language to another in real time while preserving the speaker’s original voice, ideal for international meetings or tourism. |
| Multilingual Virtual Agents | Kyutai’s models can power multilingual virtual agents for global businesses, improving customer engagement across diverse regions. |
| Voice-Driven Education Tools | Using Moshi, educators can build interactive learning tools where students talk to AI tutors and get instant verbal responses in their own language. |
| Gaming and Interactive Media | Developers can integrate real-time conversational AI into games or VR experiences for immersive character interactions. |
| Customer Service Automation | Businesses can deploy Moshi for natural-sounding, fast-response support agents that engage in real-time conversations without awkward delays. |
Kyutai Pros and Cons
Here's a balanced view of Kyutai's strengths and weaknesses.
| Kyutai Pros | Kyutai Cons |
|---|---|
| Kyutai releases all models, code, and research publicly, promoting transparency and global collaboration in AI development. | The models, such as Mimi and Moshi, show bias toward overrepresented domains from their training data, which may result in inconsistent performance on underrepresented topics |
| Moshi supports simultaneous speaking and listening, mimicking natural human dialogue far better than traditional voice assistants. | Moshi is currently trained to produce a single voice, and does not offer multiple speaker styles or voice options |
| While starting with French and English, Kyutai is expanding to support multiple languages, making it inclusive for global users. | Moshi uses a 7B-parameter backbone with dual audio streams, which may be resource-heavy or harder to run under constrained computing environments |
| Kyutai is led by world-class AI scientists and engineers, ensuring technically sound, research-backed model development. | Hibiki heavily relies on synthetic data for training, which could occasionally result in unnatural phrase structures or subtle alignment issues |
| Kyutai’s models are compatible with multiple runtimes (PyTorch, Rust, iOS), making them accessible for diverse developer environments. | Although impressive, Moshi and Hibiki remain research prototypes—systems are not yet as polished, “smart,” or deployment-ready as commercial alternatives |
Reviews
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Top Kyutai alternatives
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