Radar / AI models / Clef

Clef: Cloudflare's open-source decision models and RL fine-tuning platform

Cloudflare released Clef and Clef-flash, its first trained decision models — typed probability outputs, Jev-API compatible, Apache 2.0 weights, hosted on Workers AI — plus a reinforcement-learning fine-tuning service.

new launchmodels · decisionJEV traction 0.52added 2026-10-01
Open Clef →View on the radar

Why it matters

First major-cloud open decision model family: a drop-in alternative to hosted decision APIs with open weights, a vision encoder and 64k context, plus Cloudflare's own RL fine-tuning loop.

What you could build with it

An indie developer could put Clef in front of a support inbox to auto-route tickets with calibrated confidence scores, escalating only low-confidence cases to humans — a cheaper, deterministic gate than routing everything through a frontier chat model.

Does it hold up?

Cloudflare reports 43 internal benchmarks (top score on 7 of 10 decision benchmarks, 2.5-13x lower latency than Jev) and a real deployment on its Threat Intelligence team classifying domains in 2.2s vs 4.7s for a general LLM — vendor numbers so far; independent verification still pending.

Built with Clef

Learn more

official docs →

First spotted on article: source.

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