Cloudflare releases Clef, open decision models that answer with probabilities
On 1 October, Cloudflare released two open-weight decision models, Clef and Clef-flash, under the Apache 2.0 licence. Clef is built on a 27B Qwen model and Clef-flash on a 9B one. Both read text and images with a 64k-token context window, run on Workers AI, and have weights on Hugging Face.
Cloudflare defines a decision model as one that "makes classifications to help agents decide how to act, based on certain probabilities". Instead of writing text token by token, the models return typed answers with probabilities that code can use to route a ticket, trigger an escalation or defer to a person. Across 43 evaluations, Cloudflare reports a median latency of 209.3 ms for Clef and 38.8 ms for Clef-flash, against 524.1 ms for Jev.
The probability is what makes a decision model useful: code can act on a confident answer and hand a borderline one to a person. Check how well those probabilities match reality on your own data before you pick the cut-off.
Drafted with AI from the original source, then checked and edited by Sridhar Mukkandi. Spotted a mistake? Write to hello@tarkika.com and we'll correct it here.