LLM Footprint
Estimate the energy and emissions behind your AI use
LLM Footprint is an educational tool designed to help you estimate the energy consumption and carbon emissions behind your AI and large language model usage. By taking token counts and factoring in serving profiles and grid carbon intensity, it models the electricity and emissions associated with AI workloads.
The tool is intended for anyone looking to explore everyday comparisons and better understand the environmental footprint of their AI tasks, ranging from everyday chat and agent assistants to major multi-session projects.
Use Cases
- Developers estimating the energy usage of major coding projects
- Teams evaluating the carbon emissions of agent team projects
- Individuals exploring the footprint of everyday AI chat
- Users comparing different regional electricity carbon intensities
