AI model
Cloudflare's family of decision models, compatible with the Jev API, with image input and a 64k context window.
Microsoft has put Decision-1, a model that scores fixed choices, in Foundry at $0.042 per million input tokens. Agent teams now have to test whether its scores, so far benchmarked only by Microsoft, are calibrated well enough to decide when a case goes to a human.
Reality
Cloudflare's Clef-omni takes audio and video alongside text and images and returns schema-bound decisions in one API call. Runtimewire reported that the same release cut hosted Clef-flash's context window from 64,000 to 24,000 tokens, so longer prompts now go to Clef or to self-hosted weights.
Reality
Cloudflare and AWS have followed TypeSafe's Jev with Clef and Strands Decider 2B, small models built to pick an agent's next tool or step. The pitch is a smaller token bill, though the practitioners dev.to cites say calibration and the cost of a wrong pick decide whether any saving survives.
Reality
Cloudflare released Clef, open-weight 9B and 27B models that return a probability for each allowed option in a single forward pass. An agent's routing or escalation call becomes a score it can threshold, and so far the only latency figures come from Cloudflare.
Reality
Ollama and llama.cpp added local endpoints within a week for Jev decision models, 144M-to-27B checkpoints that return a label and a probability. Routing calls can move off hosted models once teams check each checkpoint's licence and test it on their own labels.
Reality
Cloudflare released two Jev-API-compatible decision models, Clef and Clef-flash, on Workers AI and as Apache 2.0 weights on Hugging Face. Typed classification steps in agent code can now move between providers or onto owned hardware, as long as they stay inside the text-only, 32k-context features Jev supports.
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