Jev 替代 Opus 5.5/GPT-6 做 50 万次决策的成本实测
作者把同一批 50 万次分类/路由/打分决策分别跑在 Opus 5.5、GPT-6 Astra 和 Jev 上，Jev 花 21 美分且更准，并给出把决策从生成模型迁到 Jev 的完整搭建思路。
OPUS 5.5 AND GPT-6 ASTRA ARE BILLING YOU $200 EACH FOR WORK JEV DOES FOR FOUR CENTS. text → jev → the answer itself in 70 milliseconds, while opus 5.5 and astra are still typing a paragraph to say the same thing and billing you for every word of it. walk through your own stack for a second. every time your agent classifies a ticket, routes a lead, scores a reply or flags a message, it calls opus 5.5 or astra and pays full generation price for a one-word answer. that is most of your calls, and not one of them ever needed a sentence. you are paying a $200 novelist to nod yes or no, thousands of times a day. i ran the same 500,000 decisions three ways: → opus 5.5: $612 → gpt-6 astra: $580 → jev: 21 cents, and it came back more accurate, because a model that cannot write a sentence also cannot write the wrong one do that math on a real month. the frontier bill you thought was the price of intelligence was mostly the price of decisions you were overpaying almost 3,000 times over. jev is not cheaper because it is weaker, it is cheaper because it refuses to do the expensive part they charge you for. keep opus and astra for the writing that genuinely needs a mind. move every decision onto jev and watch the invoice fall off a cliff. the full build is in the article below.
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