Verified65% confidenceBenchmarkExact time
It is estimated that training a large language model of GPT-3's scale requires approximately 1,287 megawatt-hours of electricity.
3
Sources
65%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Microsoft's Carbon Emissions Surge 25%: The Environmental Cost of AI Data Centers and the Path Forward
hackernewshackernews7/11/2026
Related Claims
VerifiedA single complete training run of a GPT-4-level large language model can consume tens of gigawatt-hours (GWh) of electricity.82% similarVerifiedIt is estimated that training GPT-3 once emits approximately 552 metric tons of CO2 equivalent.70% similarUnverifiedTraining GPT-3 consumed approximately 3.14×10²³ FLOPs.69% similar
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