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Cloudflare's Clairic pulls data from documents faster and cheaper than LLMs

AnnouncementModelOct 20, 2026

Cloudflare has released Clairic, an AI model it says extracts data from documents faster and more cheaply than large language models, now in preview on Workers AI. Users name fields, and Clairic returns values with confidence scores in a single pass. Cloudflare positions Clairic to run in chains with models like Jev, Clef, and GLM-5.3; one example takes 19.3 seconds versus 61.7 seconds for GLM-5.3 alone. Clairic cannot yet reliably handle longer calculation chains.

Why it matters

Cloudflare has launched Clairic, a document data extraction model now in preview on Workers AI, with open weights promised soon. The model takes named fields, such as an order number or invoice total, and returns the matching values in the correct format, along with a confidence score, in a single pass rather than generating text token by token. Missing values come back as null, and the model can also perform simple calculations, estimates, and forecasts. Cloudflare envisions Clairic working in chains with language models and other so-called System One models like Jev. In one example, Clairic extracts details from a complaint email and estimates repair costs, Clef applies company rules to decide between refund or repair, and GLM-5.3 drafts the customer reply. Cloudflare says the chain completes far faster and at lower cost than GLM-5.3 handling all steps alone. The company acknowledges Clairic cannot yet reliably manage longer calculation chains, advising developers to run those in their own code.

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Citation chain · 1 source

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the-decoder.comBloghttps://the-decoder.com/cloudflares-clairic-pulls-data-from-documents-faster-and-cheaper-than-llms/This source details Clairic's single-pass extraction design, its confidence scores and null returns, and a concrete complaint-email workflow chaining it with Clef and GLM-5.3.
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CloudflareCompanyGLM-5.3ModelJevModelClefModelClairicModel

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