LLM Carbon Footprint Calculator
Estimate CO2 emissions from your LLM API usage. Compare models and data center regions to understand your AI carbon footprint.
Carbon estimates are order-of-magnitude approximations based on published AI energy research. Actual values depend on hardware utilization, data center efficiency, and renewable energy mix. Not suitable for ESG reporting. Dataset verified 2026-08-20.
How to Use
Select a model
Smaller models (Haiku, Flash, mini) have significantly lower energy use per token than frontier models.
Choose a region
Data center region affects carbon intensity. EU West and US West (renewables-heavy regions) have much lower grid carbon intensity.
Enter your token volume
Enter your monthly API usage in millions of tokens (input + output combined).
See your footprint
View monthly CO2 in kg, annual estimate, and comparison to everyday activities.
Reducing your AI carbon footprint
The most impactful actions: (1) Use the smallest model that meets quality requirements — energy scales roughly with model size. (2) Use batch processing for non-real-time tasks — better GPU utilization means less energy per token. (3) Cache prompt prefixes — fewer tokens processed means less energy. (4) Choose providers committed to renewable energy contracts.
FAQ
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Last verified: 2026-08-20 · methodology · data sources