Today, the Swedish AI provider Berget AI releases an open-source method for calculating the carbon emissions of every individual AI request, developed with researchers from SEI and the tech non-profits WattTime and Klimatkollen.
Stockholm, 21 October 2026 – By making the method free for anyone to use, Berget AI wants more AI providers to report emissions per request, so that buyers can compare providers on real figures and choose lower-carbon options. Berget AI’s customers can follow their own emissions in the company’s console.
Most companies today have no way of knowing what their use of AI emits. With this method our customers can follow their emissions request by request and compare providers on data instead of marketing. We know most European buyers would choose differently if they could see the numbers.
Andreas Lundmark, CEO of Berget AI
A typical request to the open model Kimi K3 emits about 0.4 grams of CO₂ in Sweden, 1.6 grams in Ireland, 2.5 grams in Germany and 3.2 grams in Texas, on identical hardware — 8.5 times more in Texas than in Sweden. The result also depends on the model, the time of day and whether part of the prompt is cached, so the method calculates each request separately instead of applying an average. Berget AI reports location-based figures, using the average grid mix where the servers run, and includes the emissions from manufacturing the hardware.
Buyers rarely get emission figures from their AI providers, and the public figures that exist are mostly averages estimated from the outside. Open-weight models, which can run in any data centre, handle a growing share of AI traffic: 29% of tokens on Vercel’s AI Gateway in June 2026, up from 11% in April. For those models, where a request runs is the buyer’s choice, provided the emissions are visible.
Most of the alarming figures about AI's footprint come from multiplying an average by a guess at the volume, and nobody can check them. The only fair comparison is to calculate each request and add them up. We have published our judgement calls so anyone can check and use them.
Christian Landgren, CTO and co-founder of Berget AI
The International Energy Agency projects data-centre electricity consumption to more than double to about 945 TWh by 2030, with AI as the principal driver. Any promise of efficiency gains is likely to be outweighed by higher demand, negating any emission reductions from renewables. Methodologies like this offer a transparent basis for informed decisions. Their strength is that they clearly demonstrate how the location of the grid and critical infrastructure matter when it comes to how sustainable AI can be.
Somya Joshi, SEI Research Director
Berget AI
SEI and partners
Emissions estimates are based on the current average emissions intensity of each regional electricity grid, which has been the norm in greenhouse gas accounting. An emerging approach uses marginal emission rates, which estimate the impact of additional load on both the use of existing power plants and the new generators built to meet increased demand. Marginal estimates will be added to the calculator next month and may significantly change the measured greenhouse gas intensity of data centers in Sweden.
The partners mapped and measured the environmental impact of Berget AI’s infrastructure, including energy, water and hardware, as well as the carbon footprint of Klimatkollen’s Garbo AI, which runs on it. They combined the data with current research on translating it into carbon emissions and broader environmental impact.
The method follows the Green Software Foundation’s SCI for AI specification and is available under the MIT licence on GitHub. The calculator at co2.berget.ai applies it to any model and region. As far as we know, Berget AI is the first inference provider to calculate emissions for every request on its own infrastructure and publish the method.
Berget AI champions AI sovereignty to unlock innovation and growth in Europe. Founded in Sweden in 2024, Berget AI offers inference and AI infrastructure for private and public sector organisations. Since 2025 it has reported the CO₂ emissions of every API request.
Partners include Stockholm Environment Institute (knowledge partner), WattTime (scientific partner) and Klimatkollen (partner).
SEI is an international non-profit research institute that tackles climate, environment and sustainable development challenges. To learn more, visit www.sei.org.
WattTime is an environmental tech nonprofit that empowers all people, companies, policymakers, and countries to slash emissions and choose cleaner energy. Founded by UC Berkeley researchers, we research, develop, and share data-driven tools and policies that help anyone who is interested to reduce more emissions, faster.
Klimatkollen.se is a Swedish citizen platform that presents climate data about municipalities and companies. The purpose is to contribute to more engaged citizens, a more fact-based climate debate, and measures that reduce emissions in line with the Paris Agreement. Klimatkollen is run by the non-profit association Klimatbyrån.
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