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AI OpenRouter launches Jev Router, incorporating task difficulty, reasoning effort, and cache loss into model selection, and publishes internal test results compared with Auto Router.

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benchmark, its median time to first token was also lower than that of the other routers participating in the test. A similar approach had previously appeared in the Jev community. For example, `gholtzap/jev-codex-model-and-effort-router` first has Jev select a model and reasoning effort for Codex, then fixes the entire thread to reuse the cache; `Jev-Auto-Router` instead attempts to reselect a model for each call. This time, OpenRouter has built this type of approach directly into its official routing service. Original link

OpenRouter Integrates Jev into Intelligent Routing: Calculate Cache Loss Before Switching Models

# Industry Insights# AI OpenRouter launches Jev Router, incorporating task difficulty, reasoning effort, and cache loss into model selection, and publishes internal test results compared with Auto Router.# Model routing# Context caching# Reasoning effort
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