# Berget AI opens its emissions method after correcting its Texas estimate > Source: > Published: 2026-10-23 10:35:59+00:00 # Berget AI opens its emissions method after correcting its Texas estimate **Berget AI revised its Kimi K3 estimate for Texas from 3.9 to 3.2 grams of CO2e per request after reviewing grid data; its method still excludes training.** By [RuntimeWire Staff](https://runtimewire.com/author/runtimewire-staff) · Published Primary source: [Berget AI](https://berget.ai/en/blog/per-request-co2-press-release) ## Why it matters Berget is turning its Swedish infrastructure into part of the product comparison: buyers can weigh jurisdiction and emissions together. But the corrected figures and planned marginal-emissions estimate show that request-level accounting is only as comparable as its assumptions. [Andreas Lundmark](https://www.luminarventures.com/post/founder-series-a-conversation-with-andreas-lundmark?ref=runtimewire) spent nearly two decades building AI work at Boston Consulting Group before leaving to start [Berget AI](https://berget.ai/?ref=runtimewire). On October 21st, Berget AI released an open-source method for estimating emissions request by request, arguing that buyers need comparable figures to choose where their AI runs. The [announcement](https://berget.ai/en/blog/per-request-co2-press-release?ref=runtimewire) also includes a correction to its headline comparison.… When you purchase through links in our articles, [we may earn a small commission](https://runtimewire.com/affiliate-monetization-standards). This doesn’t affect our editorial independence.