Cloudflare's own models come in two classes: the Clef family returns option probabilities (clef 27B, clef-flash 9B, clef-omni 30B-A3B), while Clairic returns typed values and intervals. All four bill input tokens only ($0.038–$0.24 per million) and charge nothing for output; the three Clef models ship Apache-2.0 weights, and Clairic is still a hosted preview. They beat Jev on decision benchmarks and trail it on reasoning-heavy ones.
Decision models replace an LLM's "generate some text and you write the parser" with "you list the options up front and the model returns a probability for each." After TypeSafe proposed System One on 2026-09-15, this category went from one vendor to more than a dozen: Jev 1.14, the OpenAI Decisions API, Perplexity Decider v1.2, Microsoft-Decision-1, Liquid d1-ultra, Base Labs mammoth-1, vLLM d3, StartLux, Fastino GLiDE, Celeris-1 Decision, Inception Mercury Decide, and Cloudflare Clef. The two leaderboards disagree almost completely — the community Jev Decision Index 0.4.1 crown goes to GLiDE V1.2 (71.5), while the independent Artificial Analysis Decision Index crown goes to d1-ultra (65.2) with Jev 1.14 at only 57.1. Decision models win on classification and tool selection, lose on knowledge and reasoning, and are broadly overconfident.
Nokia's applied research team open-sourced AnyJev, which uses cyclic shifts plus batch prior correction to turn any open LLM into a calibrated decision model with no training — raising auto-decidable traffic from 7.7% to 52.0% in their own benchmark. DSPy 3.4.0 added a TypeSafe client integration with two breaking changes. Pydantic AI v2.50.0 promoted last week's `TypeSafeModel` into a formal `DecisionModel` base class. Also trending: golive-skill, which hands a coding agent the last step of actually shipping to production; magpie, which turns swapping a coding agent's backend model into a menu-bar click; and sno-station, which pairs Claude Code and Codex on one machine and lets them rewrite their own skills.