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腾讯发布 Hy4:首次支持视觉理解与电脑操作,自称中国模型第二

腾讯发布新一代模型 Hy4,首次具备图像理解与自主操作软件能力,并针对编程、金融、办公场景做专项优化。模型权重将延后开放,目前仅通过腾讯云、OpenRouter 和元宝等入口提供。第三方评测显示其智能指数位列中国模型第二,但高难度数学与编程明显落后头部模型。

AI小生意项目库 约 9 分钟读完 免费阅读 原文 2026-11-06 00:06:31

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作者:Jonathan Kemper 来源站点:the-decoder.com 原贴时间:

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Tencent has released its AI model Hy4, which can analyze images and operate software on its own. The model weights will follow at a later date. The model was specifically optimized for coding, finance, and office work. Tencent says it has already used Hy4 to improve training pipelines for other models. In independent tests, Hy4 ranks second among Chinese models but falls well behind top models like Claude Opus 5.5 on hard math and coding tasks. Tencent has unveiled its AI model Hy4. It can understand images for the first time and operate software on its own. The company counts it among the best openly available models, though the model weights won't be released until later. About two months after the preview, Tencent has released the finished language model Hy4 . According to Tencent, the model was trained on significantly more data than its predecessor and "for the first time" ranks among the strongest open-weight models. Until the weights are released at a still-unspecified date, Hy4 is only available through Tencent Cloud , OpenRouter , and Tencent apps like the Yuanbao chatbot. The biggest new feature is image understanding. Hy4 is supposed to recognize fine details in photos and complex diagrams. In a demo, it finds a roughly two-meter component on a warehouse roof inside a massive aerial image. The model can also operate a computer for the first time, controlling software on its own. Tencent trained it specifically on professional tools like Blender and CAD programs, as well as tasks that require using multiple applications in sequence. Ad Image understanding is also meant to help with coding, such as building websites and games. For game development, Tencent worked with its own gaming studios and adapted the model for popular game engines like Unreal, Unity, and Godot. On the mobile game Honor of Kings, Hy4 handles configuration tasks nearly flawlessly and finds the root causes of bugs far more often than before, according to the dev team. Ad Tencent put particular effort into finance and office applications. In a test with over 200 finance professionals who evaluated Hy4 on nearly 600 real-world tasks, the model ranked ahead of Chinese rivals Deepseek V4.1 Flash, Kimi K3.1 Pro, and GLM-5.3 Flash, according to Tencent. Hy4 is also supposed to hallucinate far less during web research. Thanks to a revamped search feature, the hallucination rate dropped from nearly 16 to about 5 percent in internal tests. The model can also collaborate with humans in real time on Word, Excel, and PowerPoint files. Partner companies report similar progress, though they're also relying on their own internal tests. Financial platform Comein sees Hy4 as the only Chinese model on par with Anthropic's Claude Opus 5.5 in second place, and clearly ahead of OpenAI's GPT-6.1 Sol on data queries. Agent platform Manus reports that Hy4 completes nearly all document tasks successfully. Ad An initial independent assessment from Artificial Analysis paints a slightly different picture. On its Intelligence Index, which combines knowledge work, coding, science, and general knowledge, Hy4 scores 35 points, above the median of 30. That ties it with Grok 4.7 and puts it in second place among Chinese lab models, behind Kimi K3.1 Pro at 46 points. In Tencent's own finance test, Hy4 still ranked ahead of Kimi. Without web search, though, the picture changes. On the AA-Omniscience factual accuracy test, Hy4 answers about half the questions correctly from its training data. When it doesn't know an answer, it makes one up 89 percent of the time instead of admitting the gap. Ad In an internal test with research tasks across seven fields, Hy4 ranks first among openly available models, according to Tencent. Together with the agent system Hyra 2.0 , Hy4 also optimized Tencent's own training pipelines for smaller models. Ad

中文翻译

腾讯发布了其 AI 模型 Hy4,它能分析图像并自行操作软件。模型权重将在之后发布。该模型针对编程、金融和办公工作做了专门优化。腾讯表示,它已用 Hy4 改进其他模型的训练流程。在独立测试中,Hy4 在中国模型中排名第二,但在高难度数学和编程任务上明显落后于 Claude Opus 5.5 等顶级模型。

腾讯公布了其 AI 模型 Hy4。它首次能够理解图像,并能自行操作软件。该公司将其列入最好的开放可用模型之列,不过模型权重要到之后才会放出。

核心信息

腾讯发布新一代模型 Hy4,首次具备图像理解与自主操作软件能力,并针对编程、金融、办公场景做专项优化。模型权重将延后开放,目前仅通过腾讯云、OpenRouter 和元宝等入口提供。第三方评测显示其智能指数位列中国模型第二,但高难度数学与编程明显落后头部模型。

  • 腾讯发布新一代模型 Hy4,首次具备图像理解与自主操作软件能力,并针对编程、金融、办公场景做专项优化。模型权重将延后开放,目前仅通过腾讯云、OpenRouter 和元宝等入口提供。第三方评测显示其智能指数位列中国模型第二,但高难度数学与编程明显落后头部模型。
  • 原贴提到:Tencent has released its AI model Hy4, which can analyze images and oper
  • 来源:the-decoder.com

详细解读

这是什么信号

腾讯把 Hy4 定位成一次能力跃迁,而非一次常规迭代:这是它第一次同时具备图像理解与自主操作软件的能力,也是第一次正式宣称自己进入“最强开放权重模型”行列。更值得注意的是,腾讯把优化资源集中投放在编程、金融、办公三个高付费意愿场景,并用自家《王者荣耀》工作室、Unreal/Unity/Godot 引擎、Blender 与 CAD 这类真实生产工具做适配,而不是只发布一组通用跑分。分发路径同样说明了意图——权重尚未放出,先通过腾讯云、OpenRouter、元宝触达开发者和终端用户。

为什么重要

第一,国产模型的竞争维度正在从“参数与榜单”转向“能不能把活干完”。Hy4 强调的连续调用多个应用、在专业软件里完成配置任务、定位 bug 根因,指向的是智能体落地能力,这正是企业采购时真正卡住的地方。第二,腾讯自测数据显示联网研究场景的幻觉率从接近 16% 降到约 5%,如果这一数字在外部复现,将直接影响金融、法务、咨询这类对事实准确性极敏感的行业是否敢把模型放进生产流程。第三,也是最容易被忽略的一层:腾讯用 Hy4 加上智能体系统 Hyra 2.0 反向优化自家小模型的训练管线,说明模型能力已经开始回流到研发体系本身,这种“自用—改进—再发布”的闭环,比单点跑分更能形成长期壁垒。

但第三方数据给出了另一面。Artificial Analysis 的智能指数给 Hy4 打了 35 分,高于 30 分的中位数,与中国模型第一名 Kimi K3.1 Pro 的 46 分仍有明显差距;在 AA-Omniscience 事实准确性测试中,Hy4 依靠训练数据答对约一半问题,而当它不知道答案时,有 89% 的概率选择编造而非承认不知道。这构成了一个非常清晰的边界:Hy4 在“有工具、有上下文、有检索”的任务里表现突出,在“纯靠记忆、缺少外部校验”的场景里依然不可信任。

对谁有价值

  • 金融与咨询团队:腾讯联合 200 多名金融从业者在近 600 项真实任务上评测,合作方 Comein 认为它在数据查询上与 Claude Opus 5.5 同档,这类查询—核验型工作流是最直接的落地点。
  • 办公与文档密集型团队:能与人在 Word、Excel、PowerPoint 中实时协作,Manus 反馈其几乎能完成全部文档任务,适合把重复性文档处理先交给模型。
  • 游戏与 3D 内容团队:针对 Unreal、Unity、Godot 以及 Blender、CAD 的适配,加上《王者荣耀》配置任务近乎零差错、bug 根因定位大幅提升的实测,对工具链依赖这些软件的工作室有直接参考价值。
  • 需要私有化部署的企业:开放权重是腾讯给出的核心承诺,一旦放出,就意味着可自托管、可做行业微调、可做数据不出域评估——但时间表未定,现在只能做前置准备。

可以怎么行动

  • 先做小样本对照:拿团队现有的真实任务集,在腾讯云或 OpenRouter 上跑 Hy4,与当前在用的模型做盲测对比,重点看“任务完成率”和“需人工返工比例”,而不是看榜单名次。
  • 把检索层当成必需品而非可选项:鉴于无检索时的高编造率,任何事实型输出都应强制走联网检索加引用回链,并保留人工抽检环节。
  • 为开放权重做预研:提前梳理哪些内部流程适合本地部署,评估数据合规、许可证条款与显存成本,等权重落地即可切换。
  • 游戏与工业设计团队可以针对自家引擎做一次适配性验证,重点测试多应用串联任务,这是 Hy4 与通用模型差异最大的地方。

风险与限制

  • 评测口径分裂:腾讯自测的金融榜单位居国内第一,但 Artificial Analysis 的独立结果显示其在中国模型中排名第二且落后第一名 11 分,采购决策不能只采信厂商数据。
  • 权重尚未发布,发布时间未定,开源许可证、商用条款和实际可部署成本都是未知数,“开放权重”目前仍是承诺而非既成事实。
  • 幻觉是硬约束:不知道答案时 89% 的概率编造,意味着它不适合无人值守的事实生成场景。
  • 优势场景有较强的生态绑定色彩——《王者荣耀》、自家游戏工作室、腾讯云分发,外部团队能复现多少收益仍待验证。
  • 合作方 Comein、Manus 的评价虽有参考价值,但也依赖各自的内部测试,缺乏公开可复核的细节。

信息差价值

这条内容的真正价值,不只是“有人发布了一个新功能”,而是它揭示了 the-decoder.com 背后的产品方向、工作流变化或竞争信号。对 OPC 来说,这种信息可以转化成持续追踪的栏目选题。

如果把《腾讯发布 Hy4:首次支持视觉理解与电脑操作,自称中国模型第二》放到你的内容系统里,它最大的价值在于帮助读者更快看懂“为什么值得关注”,而不是只看到一条碎片化动态。

参考来源

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这篇文章回答了什么

腾讯发布 Hy4:首次支持视觉理解与电脑操作,自称中国模型第二主要讲什么?

腾讯发布新一代模型 Hy4,首次具备图像理解与自主操作软件能力,并针对编程、金融、办公场景做专项优化。模型权重将延后开放,目前仅通过腾讯云、OpenRouter 和元宝等入口提供。第三方评测显示其智能指数位列中国模型第二,但高难度数学与编程明显落后头部模型。

这篇文章最值得关注的要点是什么?

腾讯发布新一代模型 Hy4,首次具备图像理解与自主操作软件能力,并针对编程、金融、办公场景做专项优化。模型权重将延后开放,目前仅通过腾讯云、OpenRouter 和元宝等入口提供。第三方评测显示其智能指数位列中国模型第二,但高难度数学与编…;原贴提到:Tencent has released its AI model Hy4, which can analyze images and oper;来源:the-decoder.com

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