Jev 推出群集路由：用上百个小模型投票选哪个前沿模型回答
Jev 不再只是个小模型，现在靠几百个实例投票帮你路由到 Opus 5.5 或 GPT-6 Astra，只用 40% 的钱拿到 99% 的跑分，省钱党快看。
Jev 从单一决策模型升级为模型路由器，用数百个 Jev 实例扫描整个对话，并对照 Opus 5.5、GPT-6 Astra、Fable、Kimi、DeepSeek 等模型的基准成绩逐轮投票选择由谁回答。据报告，该路由方式在 DeepSWE、Terminal-Bench 4.0 和 SWE-Atlas 上可达到 Opus 5.5 和 GPT-6 Astra 约 99% 的性能，成本降低 40%。这直接冲击实验室依赖用户全程使用高价模型的定价策略，因为只有真正需要时才会调用 Opus。
Jev just made a big move on the frontier models.
The viral tiny decision model is now being used to decide which frontier model answers your prompt.
The way it does it is what's interesting. It's not a single pass like most routers.
Instead, swarms of hundreds of Jevs scan the entire conversation, score every part of it against benchmark results for Opus 5.5, GPT-6 Astra, Fable, Kimi, DeepSeek and more, then vote on who takes each step.
The reported result: 99% of Opus 5.5 and GPT-6 Astra's performance on DeepSWE, Terminal-Bench 4.0 and SWE-Atlas. For 40% less.
That's a real problem for the labs. Their pricing depends on you running their most expensive model on everything. If a router can get you almost the same results while only calling Opus when it's actually needed, the premium tier starts to look optional.
