Cloudflare releases Clef and Clef-flash decision models on Workers AI

Cloudflare has trained its own AI models for the first time. On October 1, 2026, the company introduced Clef and Clef-flash, two open-weight decision models now live on its Workers AI platform. These models are built to make quick, structured calls, such as sorting a request into a category or deciding where a task should go next. Two models, two speeds Clef is the heavyweight of the pair. It packs 27 billion parameters and is built on Qwen3.8-27B. It also offers a 64k-token context window and accepts several input types: text, JSON, images and video. Clef-flash is the lighter sibling, with 9 billion parameters and a foundation of Qwen3.5-9B. Cloudflare aims it at latency-critical paths, the parts of an application where waiting even a fraction of a second is too long. Both models include a vision encoder that can process up to 4 images per request. Cloudflare says the models are optimized for outputs that are fast, accurate and deterministic. The weights are fully open-sourced on Hugging Face under the Apache 2.0 license. The numbers Cloudflare is leaning on Pricing is set at $0.24 per million input tokens for Clef and $0.09 per million input tokens for Clef-flash. Output tokens a...