Save this: How to use the Jev model as fast as possible?
Used Jev on Vercel AI Gateway to get Boolean, Choice, and Score outputs with probabilities in 70-500ms for routing, scoring, and stopping decisions.
The original post, translated
🔥Save this: How to use the Jev model as fast as possible? Input costs only $0.04 / 1M tokens, up to 444.6 times cheaper and 193.6 times faster than LLMs! Jev is now on Vercel AI Gateway. Feed in the state, and Boolean / Choice / Score + probabilities come out directly, deciding, routing, scoring, and stopping in 70–500ms. Fastest 4 steps: 1️⃣Create an AI Gateway Key in the Vercel Dashboard, set
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🔥码住：如何最快使用Jev模型？输入只要 $0.04 / 1M tokens，比 LLM 最高便宜 444.6 倍、快 193.6 倍！ Jev 已上 Vercel AI Gateway。状态进去，Boolean / Choice / Score + 概率直接出来，70–500ms 就能决定、路由、打分、停手。 最快 4 步： 1️⃣Vercel Dashboard 创建 AI Gateway Key，设
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Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under general Jev builds. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post