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OpenAI

How much water does ChatGPT use?

OpenAI's own figure is 0.32 mL per query, counting data-center cooling only. Counting the water behind the electricity, or the full lifecycle, multiplies it many times over. Both views are explained here, with sources.

0.32 mL

per query, OpenAI's own figure (cooling only)

~519 mL

per 100-word GPT-4 email, Washington Post analysis with UC Riverside (2024; cooling + electricity)

~2.5B

ChatGPT queries per day (disclosed 2025)

OpenAI has published exactly one water number: in June 2025, Sam Altman wrote that an average ChatGPT query uses about 0.000085 gallons of water (roughly 0.32 mL, or one-fifteenth of a teaspoon). That figure counts on-site data center cooling for a single query, which is what our calculator's Low scenario counts.

The most-quoted counterpoint is about 519 mL (a regular water bottle) for a 100-word AI-written email, from a 2024 Washington Post analysis with UC Riverside researchers. It adds the water behind electricity generation to the cooling water: our Mid boundary, not the full lifecycle. Neither number is wrong, but they differ on two axes at once: what gets counted, and the energy per request (Altman's 0.34 Wh for an average query versus the analysis's 0.14 kWh for a GPT-4 email, a 2024 estimate far above today's operator figures).

What OpenAI has not published is fleet-level water consumption. At a disclosed ~2.5 billion queries per day, even its own per-query figure implies on the order of 800,000 liters per day for query cooling alone, before training runs and before the Stargate-scale data center buildout announced for the coming years.

ChatGPT's consumer apps don't show token counts, so to estimate your own share, the calculator's everyday mode takes prompts per day. Heavy use (100 prompts a day for a year) lands around 68 gallons at Mid: about four showers.

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