Google Sustainability Profile
Environmental impact data for 21 tracked Google models.
Sustainability Profile
Renewable Energy
100% matched
Emissions Trend
+50% since 2019
Water Trend
+88% since 2019
Transparency Rating
High
Published per-query energy data for Gemini. 33x efficiency gain in one year.
How Google Compares
Google's average metrics compared to the full dataset of 166 models
Energy / query
CO2 / query
Water / query
Environmental Overview
Google maintains one of the largest AI portfolios in our dataset with 21 tracked models spanning 5 categories. Their average energy consumption of 153.7 Wh per query is significantly above the dataset average of 57.1 Wh, which reflects the compute-intensive nature of their product lineup. The efficiency range is vast: Gemini Nano at 0.01 Wh versus Veo 3.1 at 2.40 kWh, a 160000x spread. 3 of their 21 models are open-source, which supports transparency and community-led efficiency improvements. Google demonstrates strong environmental transparency, publishing detailed sustainability metrics. Published per-query energy data for Gemini. 33x efficiency gain in one year.
All Google Models
Text / Chat13
Image Generation3
Video Generation3
Audio1
Music Generation1
Frequently Asked Questions
How many AI models does Google have?
Google has 21 AI models tracked in the Know Your Compute database, spanning 5 categories: Text / Chat, Image Generation, Video Generation, Audio, Music Generation.
What is Google's most energy-efficient model?
Google's most energy-efficient model is Gemini Nano, consuming 0.01 Wh per query. Their least efficient model is Veo 3.1 at 2.40 kWh per query.
Does Google use renewable energy?
Google's renewable energy claim: 100% matched. Published per-query energy data for Gemini. 33x efficiency gain in one year.
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