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AI response energy costs analyzed: 1,000 short answers cost less than a penny

By PulseAugur Editorial · [1 sources] ·

An analysis of the energy cost of AI responses revealed that generating a short answer from the Qwen3-8B model on a MacBook consumed approximately 34 joules. Longer outputs, such as a 16,000-token document, required significantly more energy, around 57 times that of a short answer. Even a coding task demanded nearly 4,000 joules. The study concluded that producing 1,000 short answers would cost roughly one-sixth of a cent. AI

IMPACT Provides insight into the energy efficiency of LLMs, relevant for optimizing computational costs and environmental impact.

RANK_REASON Analysis of energy consumption for AI model responses. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI response energy costs analyzed: 1,000 short answers cost less than a penny

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Analysis of energy consumption for AI model responses. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · R4TSQ ·

    Episode 6 of 6, the finale of What AI Actually Does: what does an AI answer cost? I put Qwen3-8B on a power meter on my MacBook: a short answer about 34 joules,

    Episode 6 of 6, the finale of What AI Actually Does: what does an AI answer cost? I put Qwen3-8B on a power meter on my MacBook: a short answer about 34 joules, thinking about 4x, a 16,000-token document about 57x (95% reading), a coding ticket almost 4,000 joules, 84% reading. C…

    LINKS youtube.com/watch

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