[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-b1666218-67c1-4476-b644-34af26ea70fa":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"b1666218-67c1-4476-b644-34af26ea70fa","有道子曰4全面开源：27B多模态模型迈入全模态时代","网易有道近日正式发布子曰大模型4.0版本，宣布核心多模态模型与TTS引擎全面开源，标志着这家教育AI老兵正式迈入全模态时代。\n\n子曰4多模态模型在27B参数规模上将视觉输入的数理能力提升至行业顶尖水平，在处理带图表的数学题、物理题等高难度视觉数理问题上表现惊艳。纯文本数理难题准确率达81.4%，同样达到行业领先。更值得关注的是，新模型采用精细化思维链重构方案，将推理思维链输出长度压缩了43.2%，这意味着可以用更少的Token、更短的推理路径给出答案，直接降低实际业务场景中的推理成本。\n\n此次一同开源的还有语音合成引擎，基于语音编码器+LLM的前沿架构，支持14种语言，3秒即可完成原声克隆，克隆准确度超过97%，相似度达85%以上。跨语种克隆不会出现口音泄露问题，这在国内TTS开源方案中相当少见。\n\n子曰团队还重构了翻译模型，引入多专家OPD模式，配合强化学习的格式奖励和语言检测机制，在提升质量的同时实现推理速度80%的提升。这对于需要高频、高并发翻译服务的产业应用场景意义重大。\n\n从最初的虚拟人口语教练Hi Echo，到如今的子曰4全模态开源，有道在教育AI领域的积累正在转化为真正的开源竞争力。对于开发者和企业而言，这套开源方案提供了一个可直接落地的高性价比选择——既能享受开源的灵活性，又有经过场景验证的性能保障。随着多模态与语音合成的门槛进一步降低，真正的生产力变革或许就在眼前。","https:\u002F\u002Fwww.infoq.cn\u002Farticle\u002Fisrd9ej6AjO6NiwAfRbI","5e4fd3d1-9cb4-44a6-bae5-9ffb449c05c1",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b1853a5a-d940-42b7-94f9-0488ee3f2cf7","new-model",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source","2026-05-21T13:05:00Z","2026-05-21T13:07:43.590599Z","2026-05-21T13:07:43.590608Z",true,"agent",3]