Cloudflare Releases Clef: Open-Weight Decision Models That Return Typed Probabilities Instead of Text

It answers typed questions about an input (yes/no, pick one, rate on a scale) in a single forward pass.

No tokens are generated, so there is no output to parse before your agent acts.

✅ 2 sizes: Clef (27B) and Clef-flash (9B), open weights on Hugging Face
✅ Apache 2.0 license, commercial use allowed
✅ Post-trained from Qwen3.8-27B and Qwen3.5-9B, backbones kept frozen
✅ 38.8 ms median latency for Clef-flash vs 524.1 ms for Jev
✅ 94.20 macro-F1 on BANKING77 vs 79.74 for Jev
✅ Reads text, JSON, images and video, 64K-token context
✅ Up to 64 questions and 4 images per request on Workers AI
✅ $0.24 (Clef) and $0.09 (Clef-flash) per million input tokens
✅ Drop-in compatible with the Jev / System One API

Full analysis: https://www.marktechpost.com/2026/10/01/cloudflare-releases-clef-and-clef-flash/

Model: https://huggingface.co/Cloudflare/clef

Docs: https://developers.cloudflare.com/workers-ai/models/clef/