[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-detail":3,"header-categories":70},{"article":4,"alternate":34,"related":35,"latest":45},{"orderNumber":5,"showImage":6,"title":7,"metaDescription":8,"content":9,"metaKeywords":10,"withAllowSearch":11,"modified":12,"viewCount":13,"id":14,"lang":15,"slug":16,"summary":17,"thumbnail":6,"withHot":18,"withLeadNews":18,"author":19,"created":12,"withTop":18,"highlightContent":20,"userId":21,"highlightTitle":7,"commentStatus":11,"commentCount":5,"thumbnailToContent":11,"withRecommend":18,"metaTitle":7,"editMode":22,"siteId":5,"user":23,"status":32,"categoryId":33},0,"\u002Fattachment\u002F20260326\u002Fb715b036c7f64bae92c5bac14ffec918.jpg","token正式命名为词元，token到底是个啥","Token 正式中文名称定为“词元”。词元到底是什么？它为何成为 AI 模型处理信息的最小计量单位，又为什么被视为智能时代的重要“结算单位”？本文带你快速看懂词元与大模型调用量之间的关系。","\u003Cimg src=\"\u002Fattachment\u002F20260326\u002Ff53ba8c3c8c040a3a89b378c6d248bd7.png\">\n\u003Cp class=\"MsoNormal\" style=\"mso-char-indent-count:2.0000;text-indent:24.0000pt;\">\u003Cspan style=\"font-family:微软雅黑;\">\u003Cspan style=\"font-size:12.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">据\u003C\u002Fspan>\u003Cspan style=\"font-size:15.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">央视新闻等权威渠道消息\u003C\u002Fspan>\u003Cspan style=\"font-size:12.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">，2026年中国发展高层论坛年会期间，国家数据局局长刘烈宏正式公布 Token 官方中文名称为 \u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan style=\"color:rgb(255,0,0);font-family:微软雅黑;\">\u003Cspan style=\"font-size:15.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">\u003Cstrong>“词元”\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan style=\"font-family:微软雅黑;\">\u003Cspan style=\"font-size:12.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">，这一官方定名让该概念有了规范表述，也为 AI 相关商业模式落地提供了可量化的基础。他还指出，\u003Cstrong>词元是智能时代的价值锚点，更是衔接技术供给与商业需求的 “结算单位”。\u003C\u002Fstrong>此前，Token 已成为大模型调用量的评估标准，也是大模型厂商套餐计费的重要单位。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp class=\"MsoNormal\" style=\"mso-char-indent-count:2.0000;text-indent:24.0000pt;\">\u003Cspan style=\"font-family:微软雅黑;\">\u003Cspan style=\"font-size:12.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">刘烈宏在会上公布了我国人工智能领域的最新发展数据，\u003Cstrong>截至 2025 年底，全国已建成的高质量数据集数量超 10 万个；截至 2026 年 3 月，我国日均词元调用量已突破 140 万亿，相较于 2024 年初的 1000 亿实现千倍以上增长，对比 2025 年底的 100 万亿，仅三个月时间就实现了超 40% 的增长。\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp class=\"MsoNormal\" style=\"mso-char-indent-count:2.0000;text-indent:24.0000pt;\">\u003Cspan style=\"font-family:微软雅黑;\">\u003Cspan style=\"font-size:12.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">在解读这组数据时，刘烈宏表示，日均词元调用量的大幅增长，直观反映出我国人工智能产业已迈入快速增长期，应用场景也在持续深化升级，从基础的对话交互逐步向具备决策和执行能力的智能体发展，产业核心竞争力得到显著提升。同时这也意味着国内数据集的供给规模在持续扩大，数据要素的价值被进一步释放，数据要素与人工智能创新发展之间，已形成良性互动的良好格局。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp class=\"MsoNormal\" style=\"mso-char-indent-count:2.0000;text-indent:24.0000pt;\">\u003Cspan style=\"font-family:微软雅黑;\">\u003Cspan style=\"font-size:12.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">据了解，国家数据局下一步将以场景需求为牵引，加快推进先行先试工作，打造技术可行、实用便捷、质量有保障的高质量数据集，推动数据集供给实现量质双升。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp class=\"MsoNormal\" style=\"mso-char-indent-count:2.0000;text-indent:24.0000pt;\">\u003Cspan style=\"font-family:微软雅黑;\">\u003Cspan style=\"font-size:12.0000pt;mso-font-kerning:0.0000pt;mso-spacerun:'yes';\">从技术定义来看，词元是 AI 模型处理信息的最小计量单位，用户的提问、AI 生成的代码和文本等各类信息，最终都会被拆解为词元完成运算。也正因这一技术属性，\u003Cstrong>词元调用量成为衡量 AI 模型产业活跃度与实际价值的关键指标，调用量越高，代表模型实际应用范围越广，创造的产业价值也相应越大。\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp class=\"MsoNormal\">\u003Cspan style=\"color:rgb(208,206,206);font-family:微软雅黑;\">\u003Cspan 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