How AI Impacts Carbon Emissions
Unlike static web browsing, AI inference requires massive computational power for every query. Generating a single response can consume as much energy as charging a smartphone multiple times, depending on the model's complexity and the "reasoning" steps involved.
2026 Grid-Inference Standard
Our methodology accounts for the Watt-hours per Query (Wh/q) based on the model's active parameter count and hardware efficiency. Reasoning models (Chain-of-Thought) are weighted significantly higher due to internal token generation.
Comparison
An annual impact of 0 kg is roughly equivalent to driving a car for 0 miles.