Cloudflare 发布文档抽取模型 Clairic，称比 LLM 更快更便宜
Cloudflare's Clairic pulls data from documents faster and cheaper than LLMs
AI 导读
Cloudflare 发布 AI 模型 Clairic，称其从文档中抽取数据比大语言模型更快、成本更低。
摘要与补充说明
Clairic 已在 Workers AI 上提供预览，开放权重即将跟进。用户指定所需字段（如订单号或发票总额），模型一次性返回对应值、正确格式和置信度；它不逐 token 生成文本，而是单次回答所有字段，缺失值返回 null，还能做简单计算、估算和预测。Cloudflare 希望它作为智能体链路的一环与 LLM 及其他 System One 模型（如 Jev）配合：例如处理投诉邮件时，Clairic 提取订单号、金额和损坏情况并估算维修费用，决策模型 Clef 按公司规则在退款与维修间选择，GLM-5.3 撰写回复。
正文
Cloudflare has released an AI model it says pulls data from documents faster and more cheaply than large language models. Clairic is available in preview on Workers AI, and open weights are set to follow soon.
Users name the fields they want, like an order number or invoice total, and Clairic returns matching values in the right format along with a confidence score. Unlike language models, Clairic doesn't generate text token by token. It answers every field in a single pass. If a value is missing, the model returns "null." Beyond extraction, it can handle simple calculations, estimates, and forecasts.
Cloudflare wants Clairic to run in chains alongside LLMs and other "System One" models like Jev. With a complaint email, for example, Clairic pulls out the order number, amount, and damage, then estimates the repair cost. The decision model Clef applies company rules to choose between a refund and a repair, and GLM-5.3 writes the reply to the customer.
Cloudflare says this chain takes 19.3 seconds. GLM-5.3 on its own needs 61.7 seconds for all three steps and costs almost twice as much.
According to Cloudflare, Clairic can't yet reliably handle longer chains of calculations. For now, developers should run those in their own code.
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