The Cost of Context: Profiling the Energy Footprint of Input Tokens in Large Language Models
- DOI
- 10.48550/arxiv.2610.19819
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2610.19819,
title = {The Cost of Context: Profiling the Energy Footprint of Input Tokens in Large Language Models},
author = {Ruf, Boris and Detyniecki, Marcin},
year = {2026},
doi = {10.48550/arxiv.2610.19819},
url = {https://doi.org/10.48550/arxiv.2610.19819}
}RIS
TY - JOUR TI - The Cost of Context: Profiling the Energy Footprint of Input Tokens in Large Language Models AU - Ruf, Boris AU - Detyniecki, Marcin PY - 2026 DO - 10.48550/arxiv.2610.19819 UR - https://doi.org/10.48550/arxiv.2610.19819 ER -
APA
Boris, R., & Marcin, D. (2026). The Cost of Context: Profiling the Energy Footprint of Input Tokens in Large Language Models. https://doi.org/10.48550/arxiv.2610.19819
Source records
- datacite · retrieved 2026-11-10T21:34:46.743Z