ModelPilot
Optimize Performance, Cost, Speed & Carbon for each prompt
ModelPilot – Intelligent LLM router optimizing cost, speed, quality, and carbon impact
Summary: ModelPilot is an API-compatible LLM router that automatically selects the optimal AI model for each prompt by balancing cost, latency, quality, and environmental impact. It integrates seamlessly as a drop-in replacement for OpenAI-style endpoints, enabling quick adoption without code changes.
What it does
ModelPilot routes prompts to different AI models based on configurable priorities like high quality, balanced performance, or eco-consciousness. It runs on Firebase and Google Cloud, providing secure, scalable model selection with features such as carbon-aware routing and AI Helpers for collaborative model assistance.
Who it's for
Developers and teams managing multiple LLMs who need automated, efficient model selection to reduce costs and improve performance without altering existing code.
Why it matters
It eliminates manual model selection by automatically optimizing resource use and environmental impact, reducing expenses and latency while maintaining output quality.