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MBZUAI's Institute Of Foundation Models Launches K2 Horizon, The World's Largest Fully Open AI Models In History
(MENAFN- Mid-East Info) K2 Horizon Enables Greater Access and Reproducibility for Researchers and Developers Worldwide; Ready to Deploy from Edge to Enterprise
Abu Dhabi, UAE, September 2026: The Institute of Foundation Models (IFM) at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) today launched K2 Horizon, a fleet of six AI foundation models ranging from 0.9 billion to 375 billion parameters. Every model is released fully open, with weights, code, training data, and methodology, allowing researchers, developers, and institutions worldwide to inspect, reproduce, and adapt them. Across reasoning, mathematics, coding and agentic tasks, K2 Horizon delivers top-tier performance in every size class, with the 0.9B, 3.7B and 7B models setting new state of the art at their respective scales. The 0.9B model is designed for highly constrained environments such as watches and glasses, while the 3.7B and 7B models bring advanced capabilities to phones and other on-device applications. The dense 32B model and sparse 36B-A4B model provide powerful options for local hosting and on-premise servers, and the 375B-A23B model brings the fleet's strongest capabilities to demanding enterprise deployments. K2 Horizon is the largest fully open model release in AI history, and it cements the UAE's leadership in building frontier-grade AI systems that are developed by national institutions and shared openly with the world. The launch gives developers and researchers greater choice in capabilities, scale and deployment options. While most releases described as“open” stop at publishing weights, the K2 family has moved progressively toward end-to-end transparency, a trajectory that began with K2, continued through K2-Think and K2 Think V2, and reaches its widest expression with K2 Horizon. The six models share a core architecture, vocabulary, training methodology, interfaces and deployment tooling, with a smaller vocabulary for the 0.9B model. IFM's dynamic model routing technique directs tasks to the most cost-effective model and provides developers with a practical path from prototype to production. The fully open code, training data and recipes are a significant step forward in transparency, well beyond the“open weights” dialogue that has dominated AI industry headlines over recent weeks. Professor Eric Xing, Founder of IFM, and President and University Professor of MBZUAI, said:“We believe meaningful AI progress depends on the ability to examine, build upon, and improve the technology, not simply access it through an API. The most important technology of our time should be built with the world, not kept from it. K2 Horizon is what that conviction looks like when an institution commits to it completely, and it reflects the environment we work in here in the UAE: a country that decided to build AI rather than wait for it.” K2 Horizon includes key technology innovations: 1) A unique“diffusion distillation” technique that generates blocks of tokens in parallel, which speeds model performance by roughly 3X without degrading response quality and 2) A“mixture of value attention” architecture that improves reasoning without adding more computation; and 3) Dynamic model routing, which directs tasks to the most cost-effective model and provides developers with a practical path from prototype to production. K2 Horizon's three smallest models achieve state-of-the-art results in their respective classes across mathematics, reasoning, software-engineering and agentic capabilities. Model highlights:0.9B: the industry's best-performing model of its size in mathematics, reasoning and tool use; compact enough to run on a watch, and suited to edge deployment in sectors including energy, logistics, healthcare and public services.
Abu Dhabi, UAE, September 2026: The Institute of Foundation Models (IFM) at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) today launched K2 Horizon, a fleet of six AI foundation models ranging from 0.9 billion to 375 billion parameters. Every model is released fully open, with weights, code, training data, and methodology, allowing researchers, developers, and institutions worldwide to inspect, reproduce, and adapt them. Across reasoning, mathematics, coding and agentic tasks, K2 Horizon delivers top-tier performance in every size class, with the 0.9B, 3.7B and 7B models setting new state of the art at their respective scales. The 0.9B model is designed for highly constrained environments such as watches and glasses, while the 3.7B and 7B models bring advanced capabilities to phones and other on-device applications. The dense 32B model and sparse 36B-A4B model provide powerful options for local hosting and on-premise servers, and the 375B-A23B model brings the fleet's strongest capabilities to demanding enterprise deployments. K2 Horizon is the largest fully open model release in AI history, and it cements the UAE's leadership in building frontier-grade AI systems that are developed by national institutions and shared openly with the world. The launch gives developers and researchers greater choice in capabilities, scale and deployment options. While most releases described as“open” stop at publishing weights, the K2 family has moved progressively toward end-to-end transparency, a trajectory that began with K2, continued through K2-Think and K2 Think V2, and reaches its widest expression with K2 Horizon. The six models share a core architecture, vocabulary, training methodology, interfaces and deployment tooling, with a smaller vocabulary for the 0.9B model. IFM's dynamic model routing technique directs tasks to the most cost-effective model and provides developers with a practical path from prototype to production. The fully open code, training data and recipes are a significant step forward in transparency, well beyond the“open weights” dialogue that has dominated AI industry headlines over recent weeks. Professor Eric Xing, Founder of IFM, and President and University Professor of MBZUAI, said:“We believe meaningful AI progress depends on the ability to examine, build upon, and improve the technology, not simply access it through an API. The most important technology of our time should be built with the world, not kept from it. K2 Horizon is what that conviction looks like when an institution commits to it completely, and it reflects the environment we work in here in the UAE: a country that decided to build AI rather than wait for it.” K2 Horizon includes key technology innovations: 1) A unique“diffusion distillation” technique that generates blocks of tokens in parallel, which speeds model performance by roughly 3X without degrading response quality and 2) A“mixture of value attention” architecture that improves reasoning without adding more computation; and 3) Dynamic model routing, which directs tasks to the most cost-effective model and provides developers with a practical path from prototype to production. K2 Horizon's three smallest models achieve state-of-the-art results in their respective classes across mathematics, reasoning, software-engineering and agentic capabilities. Model highlights:0.9B: the industry's best-performing model of its size in mathematics, reasoning and tool use; compact enough to run on a watch, and suited to edge deployment in sectors including energy, logistics, healthcare and public services.
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3.7B: a fine-tuning-friendly size for developers and researchers, with reasoning that is the industry's best under 4B and matches or exceeds many larger models.
7B: the industry's best-preforming model under 10B parameters, with strong software engineering and deep research capability; small enough to run on a phone.
32B: among the most capable dense models for local hosting; built for heavy use on laptops and on-premise servers.
36B (4B active): a new Mixture of Value Attention (MoVA) architecture that outperforms many larger models while activating only 4B parameters.
375B (23B active): the flagship, built to compete with leading open-weight models on reasoning and agentic work, and enterprise-ready.
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