World Model Optimizer launches a router that cuts agent inference cost by 40%+
SilenN · hn · 2026-07-27
World Model Optimizer launched wmo serve, a tool that routes repetitive tasks to smaller distilled models while preserving frontier-like quality at roughly half the cost.
What it does
- Continually improves specialized models via distillation from open models
- Routes tasks between frontier models and custom distilled models
- Compacts tokens to remove noise and reduce context cost
The system takes agent traces plus an OpenRouter key, spins up a local OpenAI-compatible endpoint, and decides which requests should go to the frontier model versus the cheaper specialized one. The company also says a hosted version is available at 40%+ lower cost, with self-improvement over time.
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