RESEARCHMonitorWATCHLIST
Greenpixie's AI Token Methodology: Assessing the Energy, Water and CO2-eq Impact of AI Tokens for Open and Closed Weight Models
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Greenpixie released a methodology to estimate per-token energy, water, and CO2 emissions for open and closed-weight LLM inference.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 30 September 2026
- Collected by OneBench
- 1 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2609.33965v2 Announce Type: replace-cross Abstract: We describe a methodology for estimating the per-token energy cost of cloud-hosted large language model (LLM) inference, separating between input…
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