jevIMAGE
Jev 做模型路由:延迟降 95%、成本降 5 倍
实测 Jev 在模型路由任务上比 GPT-5.6 Luna 快很多,可内联在 agent 每轮动态切换模型。
Ivan Zhou
@ivanzhouyq2026.09.18收录原推发布于 2026.09.17

Ivan Zhou @ivanzhouyq原推发布于 2026.09.17
I tried @typesafeai’s Jev on a few model-routing tasks and was really impressed by its speed: 95% lower latency than GPT-5.6 Luna, at 5× lower cost. It is fast enough to run inline during an agent session, monitoring every turn and dynamically switching models when needed. Such latency unlocks a new class of real-time, adaptive agent experiences!
x.com/ivanzhouyq/status/2100456319421698161采集于 2026.09.18 10:16