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Measure and reduce the carbon, energy and water impact of your AI

Powered by a dataset of 515+ frontier and open-weight models, plus the expertise of our AI data scientists, GPX AI gives you one consistent view of AI emissions across your organisation.

Full visibility over AI usage
Understand, compare, and optimise AI usage across your cloud estate, reducing cost, carbon, energy and water as you scale.
AI carbon
13.1mtCO₂e
AI water
167,692L
AI electricity
31,857kWh
AI spend
$272,756
Impact by token type
Input (uncached)
Input (cached)
Output
Impact by model
GPT-4.1
1,157
O3
864
GPT-4o
230
GPT-4o Mini
75
GPT-4.1 Nano
26
The GPX AI dataset

Get access to our dataset covering 515+ frontier and open-weight models

  • Use one consistent methodology to estimate carbon, energy and water across any AI provider, SaaS tool or agent
  • Work directly with Greenpixie’s AI data scientists to turn insight into action
  • Demonstrate your commitment to responsible AI adoption with a transparent, evidence-led approach

New to the topic? Read our guide to AI energy consumption and what drives it.

Having been involved in the Sustainable AI Working Group and seen the methodology up close, it’s clear Greenpixie are setting the gold standard for how enterprises can measure the energy, carbon and water impact of AI workloads.
Mark BradleyMark BradleySenior Manager, Product, Flexera

How to get started

  1. 1
    Choose where to start
    What AI providers, SaaS tools or agents are you looking to estimate emissions for first?
  2. 2
    Identify the right usage or billing data
    Work out what reports are available from these tools and which teams in your organisation own them.
  3. 3
    Prioritise what matters most
    Focus first on the areas with the highest usage, fastest growth or greatest strategic importance.
  4. 4
    Apply Greenpixie’s AI dataset
    Turn your token usage data into carbon, energy and water data with our dataset. Our data scientists help apply the methodology consistently across your usage reports.
What experts say
The methodology strikes the right balance between scientific rigour and enterprise usability… giving organisations a credible way to understand and optimise the sustainability impact of AI.
Andy WestbrookAndy WestbrookDirector, Cloud Transformation & Certified FinOps Practitioner, NTT Data, Inc.
I am enthusiastic and confident in the approach that Greenpixie has taken.
Wiebren van der ZeeWiebren van der ZeeDomain Expert (CIO office) - Sustainable IT, ABN AMRO Bank N.V.
Greenpixie’s AI Sustainability Calculator

Free AI Energy & Sustainability Calculator

Estimate the impact of your own AI usage, from personal to enterprise scale.

  • Explore how model choice, tokens, caching and batching affect impact
  • Understand the trade-offs before making decisions
  • Get a feel for the data behind enterprise AI visibility
  • Learn about the Greenpixie methodology and approach
Greenpixie GreenOps Academy badges

GreenOps for AI Course

Learn how to reduce energy consumption from AI, thus reducing cost and climate impact.

  • Learn what to measure and why
  • Understand optimisation techniques like caching, model selection and batching
  • Build confidence to influence AI usage across teams

Bring AI into your GreenOps strategy

AI is now one of the fastest-growing parts of your cloud estate. Make sure it is also one of the most optimised.

Request a demo