Tencent Launches Hunyuan Hy3, Integrates Model Across Multiple Products · TechNode

Tencent launches Hunyuan Hy3, integrates model across multiple products · TechNode

On Monday, Tencent launched Hunyuan Hy3, a new reasoning model that integrates both fast and slow thinking. Built on a Mixture of Experts (MoE) architecture, Hy3 features 295 billion total parameters with 21 billion activated parameters and supports a context window of up to 256K tokens. Hy3 has been integrated into several Tencent products and services, including WorkBuddy/CodeBuddy, Yuanbao, Marvis, and ima. Its API is now available through Te…

Tencent's Hy3 beats GLM-5.2 at half the size

Tencent's Hy3 drops the license restrictions that blocked EU and U.K. deployments, cuts hallucination rates in half, and runs on export-compliant Nvidia GPUs.

Tencent Launches Final Hunyuan 3 Model With Free AI-Agent Feature

Tencent Launches Upgraded Hunyuan 3 AI Model With Free-Agent Feature - The Chinese tech giant integrated the updated AI model into its Yuanbao assistant, enabling users to generate complex documents using natural-language prompts

Tencent Launches Hunyuan Hy3 LLM with Strong Enterprise Performance

Tencent has launched its Hunyuan Hy3 large language model. This model features a Mixture of Experts architecture. It includes 295 billion total parameters with 21 billion activated, supporting a 256K context length. The model reportedly achieves a 90 per cent task resolution rate on Tencent's WorkBuddy enterprise platform, according to Tencent Tech.

Tencent releases Hy3 open-source model that allegedly matches models up to five times its active size

Tencent has released Hy3, an open-source language model with 295 billion parameters built on a mixture-of-experts architecture. Only 21 billion parameters are active at any given time. Tencent says Hy3 matches models two to five times its size while cutting its hallucination rate in half to 5.4 percent. The article Tencent releases Hy3 open-source model that allegedly matches models up to five times its active size appeared first on The Decoder.