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Cloudflare previews Clairic, a System One extraction model

Original title: Introducing Clairic, a new System One class of extraction models

Cloudflare Blogby Alex Reneau ()15 min read1
Part of a story covered by 4 sourcesCloudflare previews Clairic extraction model on Workers AIMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

Clairic is hosted on Workers AI as @cf/cloudflare/clairic, charges only for input, and open weights are planned.

Cloudflare announced a preview of Clairic, which it calls the first System One extraction model. It extracts, computes, estimates, and forecasts typed values from text and up to four images in one forward pass, returning spans, numbers, dates, lists, or distributions with confidence scores, or null. Cloudflare says it does not generate tokens, so it avoids LLM-style mistyped answers, and that it intends to release the weights later.

Key facts
  • The model is available as @cf/cloudflare/clairic on Workers AI.
  • Cloudflare says responses typically take under a second and incur no output-token charge.
  • Outputs include extracted spans with character offsets and an 80% interval for estimates.
  • Decision models Jev and Clef remain separate from this extraction class.
  • Open weights are intended but not yet released.
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From the original article

15 min read at blog.cloudflare.com

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Cloudflare Blog

By Alex Reneau · blog.cloudflare.com

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A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.