Model Routing Powered by Wisdom of the Market

OpenRouter has launched an updated Auto router, openrouter/auto, which selects AI models using aggregate anonymized spending patterns from more than 55 trillion weekly tokens of platform usage, aiming to reflect the collective preferences of users for specific task types. The router classifies prompts into roughly 30 categories, consults model usage over the previous seven days, applies a user-selected cost tier from low to max, and provides compatible primary and fallback models while honoring account restrictions, privacy policies, and guardrails. Benchmark tests across knowledge, agent, search, research, and coding tasks found that the new router generally reduced costs at its default tier while matching or improving on the former router’s performance, and its maximum tier often delivered substantially stronger results, though costs varied by workload. It also uses conversation “stickiness” to limit unnecessary model changes in multi-turn chats, retaining a selected model while it remains competitive for the task. Users can access the router through standard inference endpoints without an added routing fee, while openrouter/auto-beta offers early access to future routing and cache-performance improvements.

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