独立测试：Jev 加速 3.6 倍而非 200 倍，但级联更实用
AY Automate 用 791 条标注决策复测，Jev 中位延迟 0.33 秒对 Terra 1.17 秒，只快 3.6 倍；但让 Jev 处理高置信多数、Terra 只接不确定的 19–23%，准确率持平而成本约为 26–28%。
JEV'S 200× SPEED STORY COLLAPSED TO 3.6× IN AN INDEPENDENT TEST AND THE REAL RESULT WAS ACTUALLY MORE USEFUL TypeSafe reports 193.6× faster and 444.6× cheaper on its own workflow evaluation AY Automate tested 791 labeled decisions instead Jev's median latency was 0.33 seconds. GPT-5.6 Terra's was 1.17 seconds. That is 3.6×, not 193.6×. Jev also landed roughly five to six accuracy points below Terra on the two routing tasks Then they stopped treating it like a winner-takes-all model Jev handled the confident majority. Only the uncertain 19–23% went to Terra. The cascade matched or slightly beat Terra's measured accuracy while using roughly 26–28% of its estimated cost That is a much stronger product story than a giant benchmark multiple Cheap model first Expensive model only when uncertainty earns it Jev may matter most not as a replacement for frontier models, but as the gate that decides when they are worth paying for
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