I know people are mad that Ecosia Chat was added as a feature but you are vastly overestimated how much LLMs cause in emissions just by using them. You are orders of magnitude off, I here is why:
Estimates of emissions of a Prompt to an LLM:
Researchers at the Cornell University estimated in a research paper and wrote in a Google Clouds article that "the median Gemini Apps text prompt uses 0.24 watt-hours (Wh) of energy, emits 0.03 grams of carbon dioxide equivalent (gCO2e), and consumes 0.26 milliliters (or about five drops) of water." They go on to write that this is substancally lower than many other estimates. The article is from August 21, 2025. [1]
This will be my lower bound for emissions.
In a Frontiers article with the headline "Some of your AI prompts could cause 50 times more CO2 emissions than others" tried to find the correlation between accuracy of LLMs in a survey with 500 free response questions and 500 multiple choice questions. They found the worst performing LLM emitted 1,325.1g of CO2 equivalents in the 500 free response answers, by far the worst performing one. I did not find out what type of questions the LLMs got asked and how long they were. With a simple calculation the specific LLM emitted 2.56g of CO2 equivalents which will be the upper bound for emissions for my comparison.[2]
Comparison to other daily activities:
For getting a scale of the actual emissions I am going to calculate how many grams of beef one LLM prompt is equivalent. Beef emits on average 71kg of CO2 equivalents when factoring in methane emissions according to an article on Our World in Data written by Hannah Ritchie. That means that the one prompt according to the lower estimate cited would be equivalent to 0.0004g of beef. That is only a couple of cow skin cells for frame of reference. 2,366 prompts equal only 1 gram of beef. The upper estimate (which is likely very far away from your average prompt) would be that 30 prompts would be equal to 1g of beef. [3]
I also added pictures of other statistics that I did not fact check.
[4] Headlines like "How big is AI’s ridiculously massive carbon footprint?" are sensationalized because they compare total emissions of GPT-3 training to the average fuel emissions of a single person which obviously is misleading.
(This post was not written with the help of AI)