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Kyutai

Kyutai

Researched 50d agoFlagship Q/$ unavailable — link an active model with benchmark and list pricing.

Research profile; release coverage pending verification

Open-source AI accessibility for everyone

France

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Freshness

2026-04-15

Researched 50d ago

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Kyutai is a French AI research organization founded in 2023. Open-source AI accessibility for everyone. Kyutai's model catalog is being expanded as public releases are verified and linked to stable pages. This page tracks the lab's public profile, known focus, related organizations, and catalog coverage status. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added.

About

Kyutai, founded in late 2023, is a prominent non-profit AI research laboratory located in Paris, France. It has quickly established itself as a leader in the field of Artificial General Intelligence (AGI) research, with a profound commitment to open science. Unlike many private AI labs that focus on proprietary technologies, Kyutai is determined to democratize AI by openly sharing its models, code, and data. This dedication to transparency is designed to accelerate progress by fostering collaboration within the AI community and allowing others to build upon their work. Their mission is to make advancements in AI accessible not just to researchers, but also to developers, businesses, and policymakers, thereby contributing to the broader AI ecosystem. The lab's substantial funding of approximately €300 million from notable figures such as Xavier Niel, Rodolphe Saadé, and Eric Schmidt enables Kyutai to leverage significant computing resources, including access to Scaleway's high-performance supercomputer. This financial backing is crucial for developing large multimodal models capable of processing and integrating diverse data types like text, sound, and images. Such models are pivotal in advancing the capabilities, reliability, and efficiency of AI technologies, which is a central focus of Kyutai's research efforts. A notable project emerging from Kyutai's research is Moshi, a real-time voice-enabled AI assistant. Moshi exemplifies Kyutai's advances in generative AI and natural language processing, utilizing a unique architecture that processes audio data directly, bypassing the transcription step. This innovation results in low-latency and high-performance interactions, with the added benefit of being compact enough for local installation, enhancing both security and accessibility. By committing to open-source Moshi, Kyutai continues to demonstrate its dedication to making generative AI technology universally available. Kyutai's research team includes experienced professionals from establishments such as Meta's FAIR, Google's DeepMind, and Inria, which speaks to the considerable expertise driving their initiatives. The scientific committee, featuring renowned AI experts like Yejin Choi, Yann LeCun, and Bernhard Schölkopf, provides guidance and strategic oversight. Kyutai’s approach contrasts with the more closed and commercially driven models of other major AI organizations, offering a compelling, open-source alternative that emphasizes collaboration and shared knowledge. This combination of strong financial support, a talented team, and a commitment to open science positions Kyutai as a pivotal player in advancing the field of AI, particularly within Europe.

Model families

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Recent releases

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FAQ

Who founded Kyutai and when?

Kyutai was founded in 2023 and is associated with Paris, France.

What models has Kyutai released?

Kyutai does not yet have linked model pages in LLMReference; this profile tracks the lab while model entries are verified.

Is Kyutai's technology open source?

LLMReference does not yet have enough model license data to classify Kyutai's releases.

Where is Kyutai headquartered?

Kyutai is headquartered in Paris, France.

What is Kyutai known for?

Open-source AI accessibility for everyone.

How can I access Kyutai's models?

Kyutai's provider availability is tracked on model pages as API and hosting data is verified.

Explore related pages

Last reviewed: 2026-04-15. Data sourced from public lab announcements and provider documentation.