How to Get the Lowest-Cost LLM Inference on OpenRouter

OpenRouter provides a detailed guide on how to minimize costs when using language model inference by leveraging their platform's features. Users can take advantage of free models, which offer up to 1,000 requests per day with a minimal credit deposit, and utilize the ":floor" suffix to route requests to the cheapest available provider automatically. The platform's default setting favors less expensive providers and employs an inverse-square weighting strategy to balance cost and reliability, mitigating the risk of outages. For those with budget constraints, OpenRouter allows setting a hard price ceiling using the "max_price" configuration, ensuring that requests do not exceed predetermined costs. Users can also bring their own API keys (BYOK) to potentially reduce expenses, especially when existing provider rates are more favorable than OpenRouter's standard fees. The guide emphasizes the importance of understanding cost variables such as platform fees and quantization impacts on model precision, advising users to carefully configure their settings to control expenses efficiently, particularly in scenarios where reliability or high throughput is critical.

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