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
Cloudflare 发布 AI 模型 Clairic，称其从文档中抽取数据的速度和成本都优于大语言模型，已在 Workers AI 上提供预览，开放权重随后发布。用户指定订单号、发票总额等字段后，Clairic 一次性返回对应值、正确格式和置信度分数，不逐 token 生成文本，缺失值返回 null，还能做简单计算、估算和预测。Cloudflare 设想把它与 LLM 及其他 System One 模型串联，例如由 Clairic 抽取订单号、金额和损坏情况并估算维修成本，决策模型 Clef 按公司规则选择退款或维修，再由 GLM-5.3 写回复；Cloudflare 称该链条耗时 19.3 秒，而 GLM-5.3 单独完成三步需 61.7 秒且成本接近两倍。Cloudflare 表示 Clairic 目前还不能可靠处理较长的计算链，这类计算暂时应由开发者在自己代码中完成。
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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.