Openrouter Batch Notes

OpenRouter-Batch-Notes is a comprehensive repository documenting the mechanics, pricing structures, and operational constraints of the OpenRouter Batch API. It provides a series of research notebooks that analyze cost differentials between synchronous and batch inference, identify potential pitfalls in bulk processing, and offer data-driven methodologies for selecting cost-effective models based on benchmark performance and specific workload requirements.

Built using Python, the project includes utility scripts for fetching live API pricing, generating benchmark-weighted value reports, and managing datasets synchronized with Hugging Face. It serves as a practical resource for developers and data engineers aiming to optimize large-scale inference tasks, offering actionable insights into provider routing, reasoning model output handling, and synthetic data diversity.