Tencent Upgrades Self-Developed Foundation Model Tencent Hunyuan and Deploys it to Internal Products


Tencent Hunyuan released the preview version of its flagship model, Hy4preview, with a total parameter count of 770B and an activated parameter count of 49B. It supports a context length of 1M. This model performs exceptionally well in real productivity tasks such as coding, office work, and science, ranking among the first-tier open-source models. Its comprehensive performance in internal blind tests exceeds that of similar competitors, and it has already been applied in multiple fields within Tencent.
Tencent Hunyuan released the open-source flagship large model Hy4preview on August 28th, with a total of 770B parameters and 49B activated parameters, and a context length of 1M, positioning it as real productivity. The model has been open-sourced on HuggingFace, GitHub, ModelScope, and is also available on Tencent Cloud TokenHub and OpenRouter. It can be experienced through WorkBuddy/CodeBuddy, Yaobao, and IMA. It was built using expert data from fields such as software engineering, games, finance, and security.
Tencent Hunyuan compressed a 1.8B edge-side translation model to hundreds of megabytes, achieving near-zero loss in translation quality, and has been applied to real-time translation of B站 live chat messages, supporting high-concurrency real-world applications. The model supports mutual translation among 33 languages, and its translation quality leads among models of the same size.
Tencent Hunyuan launches the speech recognition model Hy ASR 3.0 preview, which leverages the language comprehension capabilities of the large language model Hy3, combining high-precision recognition with deep semantic understanding. It has been significantly improved in general recognition, context awareness, multi-scenario robustness, and dialect coverage. It can provide more accurate and coherent transcriptions by combining context, achieving an evolution from word-by-word transcription to semantic understanding.
WorkBuddy and Tencent Hunyuan joint project announced that due to the popularity of the initial launch of the Hunyuan Hy3 large model, computing resources experienced peak congestion. Since 10:00 a.m. on July 8th, a queue phenomenon occurred. The project team has completed an emergency computing power expansion and scheduling to ensure stable service operations.