AI/ML API 出了个 Jev Router,能按任务难度自动挑模型,简单活走便宜模型,省不少 API 费用。
#Jev Router
工具选择正成为智能体最关键的决策,Jev Router 把上万工具塞进一个 MCP 服务器自动路由,号称每美元任务量是 Claude 的 28 倍。
DAIR AI 把 Jev Router 的资料整理进了 Academy 资源页,想弄懂这个东西怎么用的可以直接去看。
The evaluation suggests routers are judged less on raw cost-performance and more on how quickly they adapt to user feedback, where Jev Router nearly matches Claude Opus 5.5 (High). Teams building multi-model agent pipelines can use these latency and cost figures to decide whether a routing layer beats picking DeepSeek V4.1 Flash directly. The full thread contains additional session-level insights.
LMArena测了Jev Router的实际延迟:中位数6.18秒,比DeepSeek V4.1 Flash的3.64秒慢了一截,P90差距更明显。
Routing adds a decision layer that can match the Pareto frontier yet still lose to simply picking one strong model, because latency and overhead eat the gains. Builders weighing a router against a default model should benchmark the direct path first, as the comparison here shows. The steerability signal is also useful for teams whose workflows depend on following complex instructions.
Routing transparency like this lets you audit why a request went to a small versus large model, which directly affects cost and latency budgets. Developers tuning multi-model stacks can compare Jev Router's scoring dimensions against their own routing heuristics. It also lowers the trust barrier for auto-routing, since every pick now comes with an explainable score breakdown.
OpenRouter 出了个 Jev Router,同一个会话里自动调推理强度,切换前还会算上缓存丢失的成本,省钱思路挺实在。
TypeSafe 做了个叫 Jev 的路由模型,每轮对话前给你的提示词打分,判断该用贵模型还是便宜模型,省钱和保质量二选一的问题它替你算。
In agent workloads, TTFT compounds across every tool-call round, so a latency edge at the router layer can cut total task time more than a model swap would. Teams building multi-step agents on OpenRouter can treat Jev Router as a default routing choice when responsiveness matters more than marginal quality differences. The comparison also gives a reference point for judging whether paid routing options justify their overhead.
OpenRouter 新出的 Jev Router 在 423 个任务里解决了 237 个,比他们原来的 Auto Router 多 82%,做 Agent 的可以看看路由效果差在哪。