Models & inference
Clef
Cloudflare's open-weight decision models that return typed answers with probabilities, hosted on Workers AI.
What Clef does
Clef is a pair of decision models from Cloudflare, Clef and Clef-flash, announced on the Cloudflare blog on October 1, 2026. A decision model does not write free text. You give it an input state and a set of typed questions, and it returns a probability for each allowed answer, which your code can use to route a ticket, trigger an escalation or hand the case to a person.
Cloudflare's docs list Clef at 27B parameters and Clef-flash at 9B. Both read the state as text, JSON, images or video, have a 65,536-token context window, and take up to 64 questions per request in three types: yes/no, choice and score. They run on Workers AI as @cf/cloudflare/clef and @cf/cloudflare/clef-flash, and Cloudflare says they are compatible with the Jev API from Typesafe AI. The weights are on Hugging Face under Apache 2.0, and the model card names Qwen3.8-27B as the base for Clef.
Cloudflare also announced a reinforcement learning fine-tuning service. It starts as hands-on work with Cloudflare's forward-deployed engineering team, with a self-serve platform planned later. The announcement says Cloudflare does not read, store or train on Clef requests and responses unless a customer uses fine-tuning.
Clef suits developers who need fast, bounded classification steps inside agent workflows. The benchmark tables in the announcement are Cloudflare's own.
- Decide whether a support message is urgent and which team should handle it.
- Classify a website domain into categories, as Cloudflare's Threat Intelligence team does.
- Classify images or video frames against a fixed set of labels.
- Add a decision step to an agent workflow that can defer to a human when confidence is low.
Who should use it
- Developers on Cloudflare Workers who need classification inside agent workflows.
- Teams that want open weights they can run themselves.
Who should look elsewhere
- Chat or open-ended text generation, since the models output only probabilities.
- Teams that want self-serve fine-tuning now; the service starts as engineer-led work.
Strengths
- Accepts images and video as well as text and JSON.
- 65,536-token context window on both models.
- Apache 2.0 weights on Hugging Face, plus a hosted API on Workers AI.
- Hosted pricing is per million input tokens, with a free daily Workers AI allocation.
Limitations
- Answers are limited to the options you define; the models do not generate text.
- Benchmark results come from Cloudflare's own announcement.
- Fine-tuning is not self-serve yet.
Sources
- Introducing Clef: our open-source decision models, and new RL fine-tuning platform | Cloudflare BlogOfficial sitePrimaryblog.cloudflare.com
- Posts tagged "Plans" — Cloudflare BlogPricing pagePrimaryblog.cloudflare.com
- Posts tagged "Developer Documentation" — Cloudflare BlogOfficial docsPrimaryblog.cloudflare.com
- developers.cloudflare.com/workers-ai/models/clefOfficial docsPrimary
- developers.cloudflare.com/workers-ai/models/clef-flashOfficial docsPrimary
- developers.cloudflare.com/workers-ai/platform/pricingOfficial docsPrimary
- huggingface.co/Cloudflare/clef/blob/main/LICENSERepositoryPrimary
- huggingface.co/Cloudflare/clefRepositoryPrimary