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ChartUsesUses · Multiple of the energy without reasoning
Published on 20 October 2026

Reasoning mode multiplies energy use

Energy with reasoning, relative to the same request without, as a multiple

Reasoning mode multiplies energy use

110× 10100× 101,000× 10ScalelogarithmicMultiple of the energy without reasoning (logarithmic scale)PEReN, average22 open models× 1.9PEReN, codemaximum, one task× 9.5Hugging Face, average2 model groups× 30Hugging Face, same model3 models, with then without× 150 to 700
Source: Arcep and PEReN, 2026; Hugging Face, 2025. projetcelsius.com/en/ai · CC BY 4.0AI Impact, by Projet Celsius

The analysis

  • In reasoning mode, the model writes a long intermediate text before answering: energy follows the amount of text produced.
  • The 2 studies do not compare the same thing: PEReN switches reasoning on or off on the same models; Hugging Face's average mainly compares families of models.
  • For a simple question, the quality gain is uneven across tasks: it is the most costly setting to leave on by default.

The figures

  • PEReN, average (22 open models): × 1.9.
  • PEReN, code (maximum, one task): × 9.5.
  • Hugging Face, average (2 model groups): × 30.
  • Hugging Face, same model (3 models, with then without): × 150 to 700.

Assumptions

  • GPU energy at the time of the response.
  • Open models, measured on GPUs alone.
  • Commercial assistants do not publish measurements of their reasoning mode.

Published on 20 October 2026MethodologyAll sourcesLicence CC BY 4.0

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