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Energy6/day by emailReported
Answering one medium-length prompt of approximately 1,000 input and 1,000 output tokens takes very different amounts of energy depending on the model: benchmarking by Jegham et al. cited in Stanford's 2026 AI Index found DeepSeek V3.2 the most energy-hungry of 2025's top 15 models, at 23 Wh
Verified 2026-11-03
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Model choice can change the electricity bill for the same task several times over, so efficiency is becoming a real competitive edge as AI usage scales.
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- American Electric Power, one of the largest US utilities, which counts hyperscalers and manufacturers among its new large customers, signed fresh load commitments in the third quarter of 2026 and now expects its contracted extra load to reach 84 GW by 2031 AEP signed 15 GW of new load commitments in a single quarter
- AI data centres worldwide reached a power capacity comparable to New York State at peak demand in 2025, which Stanford's AI Index puts at 29.6 gigawatts
- OpenAI does not disclose GPT-4o's resource footprint, so Stanford's 2026 AI Index Report turned to independent researchers' estimates of the water needed to cool the servers behind it — as much as 1.58 million kilolitres a year — more than 1.2 million people drink annually
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