Cloudflare 发布 Clairic 模型，从文档抽取数据比 LLM 更快更省
Cloudflare's Clairic pulls data from documents faster and cheaper than LLMs
Cloudflare 发布文档数据抽取模型 Clairic，已在 Workers AI 开放预览，开放权重即将推出。用户指定所需字段后，模型单次调用即返回格式化值和置信度，缺失值返回 null，不做逐 token 生成，还可处理简单计算、估算和预测。
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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来源：The Decoder：AI News · the-decoder.com