Tencent Hunyuan unveils Hy4 LLM with vision, computer-use, open-source weights
On November 4, 2026, Tencent Hunyuan released Hy4, its latest large language model, marking the first time the Hy series enters the top tier of open-source models. Hy4 introduces vision understanding and computer-use capabilities for the first time, with significantly expanded data and training scale compared to Hy4 preview, and improved instruction following, long-context comprehension, and long-horizon agent performance. The model weights and a system card are scheduled to be open-sourced soon, with a focus on responsible open-sourcing addressing network and biological safety risks.
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腾讯混元 BlogHy LLM
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机器之心新闻资讯
11 月 4 日,腾讯混元发布最新一代大语言模型 Hy4。随着模型能力的再次全面跃升,Hy 首次跻身最强开源模型之列。Hy4 将于近期开源模型权重,发布模型系统卡片,并积极推进更负责任的开源,重点关注网络和生物安全等风险。 相比于 Hy4 preview,Hy4 在预训练和后训练上显著扩展了数据和训练规模,首次引入视觉理解能力,并大幅提升了指令遵循、长文理解、长程智能体等综合效果。 通过视觉理解、推理和工具调用能力,Hy4可以完成细粒度图像处理、复杂图表分析和数学视觉推理等任务。 Hy4 也首次支持电脑操作(Computer Use),可以结合命令行和图形界面,处理工作和生活中的各类任务。针对 Blender、CAD 等专业软件和跨应用长程任务,混元了开展专项训练,大幅提升了专业任务的规划与执行能力。 模型和产品深度 Co-Design ,持续解锁真实生产力场景 得益于模型基础能力的全面提升,以及模型与产品的深度Co-Design,Hy4 解锁了更多真实生产力场景。 在办公场景,Hy4 全面提升了 WorkBuddy 的用户体验。评测结果显示,Hy4 平均效果得分 83.18 分,任务通过率 96.15%,12 个场景中 9 个排名国内第一。实际体验中,Hy4 在视觉创意、3D 场景构建和网页开发等任务上兼顾效果与效率。同时,针对WorkBuddy的人机双写特色功能,Hy4 在文档美观度、稳定性和可用性上均有明显提升。 伴随 Hy4 上下文学习能力的持续提升,模型能更好地理解多源复杂信息,成为用户的长期个人助理。借助 WorkBuddy 的企业微信套件,Hy4 可以连通聊天记录、邮件、文档、日程与会议等日常工作信息。多个项目并行推进时,Hy4 能理清各项目的推进历史与最新进展,识别待跟进的任务、需要准备的会议和临近截止的事项,及时提醒用户并协助安排优先级。此外,由 Hy4 支撑的团队协作功能将随新版“项目”在 Workbuddy 上线。 Hy4 重点强化了专业金融分析能力。基于真实金融场景构建了数千个工作空间和上万个高质量任务,让模型充分学习基金研究、证券分析、量化策略、资产配置、公司金融、财税会计等方向的专业流程与规范。混元联合腾讯金融科技 FiT 开展了 213 位专家的金融众测,其中 153 位来自外部的头部金融机构,且七成拥有五年以上工作经验。基于 579

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