AI article
Behind EcoPrompt: How I modeled the hidden physical cost of AI prompts (Zero Telemetry)
Community description: A deep dive into why I built EcoPrompt, the peer-reviewed research behind its metrics, and how to track LLM environmental impact locally in your browser.
Dev.to | Sep 26, 2026 | IB2M_Official
Automated excerpt
GenAI web interfaces (ChatGPT, Gemini, Claude) are pristine, minimal, and fast. But behind every single prompt lies a massive array of GPU clusters consuming real electricity, requiring evaporative cooling water, and generating carbon emissions. Lightweight (GPT-4o mini, Gemini Flash, Claude Haiku): ~3–5 mL water / ~0. 0005 kWh Standard (GPT-4o, Gemini Pro, Claude Sonnet): ~20–30 mL water / ~0. 003 kWh Reasoning / Extended Thinking (o1/o3-series, Claude Opus/Thinking): ~120–250 mL water / ~0. 02 kWh Image Generation (DALL-E 3, Imagen 3): ~250–400 mL water / ~0. 035 kWh Building an extension that interacts with pages like chatgpt. com or claude.
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