// HACKER NEWS — CYBERSECURITY
Tencent Releases and Open-Sources Tencent Hy4 Preview
Ranked among the top tier of open-source models, Hy4 preview is built for real-world productivity tasks, delivering outstanding performance across coding, office work, and scientific research
Tencent has released and open-sourced Tencent Hy4 preview, a next-generation large language model with 770B total parameters and 49B active parameters, and a context window exceeding 1M tokens. It demonstrates outstanding capabilities on real-world productivity tasks spanning coding, office work, and scientific research.
Hy4 preview is now available as an open-source model and can also be accessed globally through WorkBuddy and CodeBuddy, as well as Yuanbao, ima and other Tencent products. Users can try the model directly through these applications, or connect to it via API through Tencent Cloud TokenHub and OpenRouter.
Upon launch, Hy4 preview will be available for free on WorkBuddy and CodeBuddy for two weeks. Free access to Hy3 on both platforms has also been extended until September 30.
Hy4 preview was expanded significantly in model size, context length, and data volume, and the advances in both pre-training and post-training have led to a major leap in overall intelligence, placing the model among the top tier of open-source models.
Hunyuan continuously works in deep co-design with products such as CodeBuddy and WorkBuddy, optimizing the real-world user experience across productivity scenarios. In a blind evaluation conducted internally by Tencent involving 163 experts and 203 engineering tasks, Hy4 preview scored an average of 2.99 out of 4.00, slightly ahead of GLM-5.3 (2.92/4.00) and Kimi K3 (2.94/4.00).
Designed for productivity, Hy4 preview was developed using high-quality training data co-created with Tencent experts across software engineering, gaming, finance, security, and other domains, as well as through deep co-design with products such as WorkBuddy. This has helped drive significant improvements across a wide range of real-world productivity tasks.
In software engineering, Hy4 preview delivers stronger understanding, planning, debugging, and validation capabilities for long-context development tasks, while also enhancing the visual quality and interaction experience of front-end development.
In office productivity and analytical scenarios, the model demonstrates a significantly stronger understanding of complex working environments and enhanced financial analysis capabilities. It has also been optimized for data analysis and cross-document collaboration, supporting the full workflow from information processing through to the creation of documents, spreadsheets, and presentations.
In game development, Hy4 preview can generate a playable prototype from a single natural-language request, and work effectively with game engines. Developers can then continue refining complex game projects through multi-turn interactions.