Lemony Launches Cascadeflow to Cut AI Model Costs by Up to 85%

Lemony has released Cascadeflow, a tool that automatically selects the most efficient and least expensive language model for each AI query, announced in a press release. The system is designed to reduce AI operating costs by up to 85% through dynamic model routing and speculative execution.

Cascadeflow begins by running smaller, faster models first and only escalates to larger, more costly ones if the output fails quality checks. It supports multiple providers, including OpenAI, Anthropic, Groq, vLLM, and Ollama, and offers a unified API with built-in cost tracking and telemetry.

The open-source platform includes features for cost optimization, real-time monitoring, and configurable spending caps. It can handle most queries locally and automatically escalate complex ones to cloud providers when needed. Cascadeflow is available now on GitHub and as an integration for the n8n automation platform.