OpenRouter launches new Auto router that picks models based on community usage

OpenRouter 推出由市场智慧驱动的新版 Auto 路由器

OpenRouter turned its 55T weekly token usage data into a routing strategy. The new Auto router picks models based on what the community actually used for similar tasks over the past 7 days, generating a Pareto-optimal routing curve. At the default tier, MMLU Pro hits 85.2% while cost drops from $393 to $141. At max tier, SWE-Atlas QnA jumps from 2.4% to 60.7% but cost rises to $1,325. The router adds sticky behavior to avoid switching models mid-conversation and rebuilding caches. The post doesn't spell out how task classification works or how often the routing curve refreshes.

Why it matters: OpenRouter turned community usage data into a routing strategy — default tier cost dropped from $393 to $141 while MMLU Pro held at 85.2%. Real savings signal for AI builders. Not scored higher because this is a platform feature update, not a model capability breakthrough, and...