ChatGPT Carbon Estimator

Estimate the carbon emissions of your ChatGPT usage in real time.

As of May 2026, ChatGPT Carbon Estimator has 36 users in the Education category.

Usersdown 18.2 percent18.2%
36
36
Ratingno change0%
— reviews
Reviewsno change0%
Version
1.1
Manifest V3

History

4 snapshots

Tracking since Apr 20, 2026.

44.644035.36Apr 20, 2026May 30, 2026
View as table
DateUsersRatingReviewsVersion
Apr 20, 2026441.1
May 6, 2026431.1
May 17, 2026411.1
May 30, 2026371.1
Now361.1

Permissions & access

Permissions
None declared
Host access
https://chat.openai.com/*, https://chatgpt.com/*

Screenshots

ChatGPT Carbon Estimator screenshot 1

About

Bring environmental awareness to your AI conversations: stay informed and empowered when using the tools you love.

ChatGPT Carbon Estimator (CBE) helps you understand the environmental impact of each interaction with ChatGPT by providing real-time estimates of carbon emissions, water usage, and relatable real-world equivalents.

Whether you're casually chatting or deeply exploring ideas with ChatGPT, this lightweight extension makes it easy to stay mindful of your digital footprint. 

Generative AI models use large-scale compute resources and energy. By visualizing the impact of your queries, ChatGPT Carbon Estimator helps raise awareness around AI sustainability, without adding friction.

CBE is ideal for: 
🖖Curious users who want more sustainable tech habits
🖖Educators teaching digital responsibility
🖖Developers and researchers exploring AI’s real-world costs
🖖Anyone who uses ChatGPT regularly

What CBE does: 
🖖Automatically calculates carbon emissions for each ChatGPT response
🖖Shows real-time equivalents:
- Water consumed (in liters)
- Emails sent
- Car travel distance
- Flight time
- Google searches 
🖖Tracks total emissions per session — live in your browser
🖖 Displays a clean, light-blue badge right on the ChatGPT page

CBE is privacy-friendly and runs entirely in your browser.
🖖No tracking
🖖No data collection
🖖No API keys required
🖖No OpenAI account access

You see exactly what the model outputs and we use that alone to estimate the environmental cost.

Methodology and sources: 
Bring environmental awareness to your AI conversations: stay informed and empowered when using the tools you love.

ChatGPT Carbon Estimator (CBE) helps you understand the environmental impact of each interaction with ChatGPT by providing real-time estimates of carbon emissions, water usage, and relatable real-world equivalents.

Whether you're casually chatting or deeply exploring ideas with ChatGPT, this lightweight extension makes it easy to stay mindful of your digital footprint. 

Generative AI models use large-scale compute resources and energy. By visualizing the impact of your queries, ChatGPT Carbon Estimator helps raise awareness around AI sustainability, without adding friction.

CBE is ideal for: 
🖖Curious users who want more sustainable tech habits
🖖Educators teaching digital responsibility
🖖Developers and researchers exploring AI’s real-world costs
🖖Anyone who uses ChatGPT regularly

What CBE does: 
🖖Automatically calculates carbon emissions for each ChatGPT response
🖖Shows real-time equivalents:
- Water consumed (in liters)
- Emails sent
- Car travel distance
- Flight time
- Google searches 
🖖Tracks total emissions per session — live in your browser
🖖 Displays a clean, light-blue badge right on the ChatGPT page

CBE is privacy-friendly and runs entirely in your browser.
🖖No tracking
🖖No data collection
🖖No API keys required
🖖No OpenAI account access

You see exactly what the model outputs and we use that alone to estimate the environmental cost.

Methodology and sources
The assumptions are: 
🖖 1 token = 0.0003 kWh on average for the most common model used today, GPT4o. Noting that, while GPT4o-mini is a smaller model and should use less energy, studies showed that it uses an A100-chip model (compared to H200 for GPT4o), which is less efficient and might counterbalance the energy savings of the model itself. 
🖖 ChatGPT queries happen in Europe, which leads to a kg CO2 per kWh = 0.26 on average. This is an average across the whole region. In Australia, this variable would be 0.81. 
🖖 A study from 2023 showed that running GPT-3-sized models consumes approximately 500 ml of water per 1,000 tokens. This includes both direct water use to cool the servers in the data center and indirect water use: water used by power plants to generate the electricity powering those servers
🖖On average 1 token = 1.33 words 


💬 FAQ
Q: Does this access my ChatGPT account?
A: No. It only observes content rendered on the page.

Q: Are these estimates accurate?
A: They are approximate, based on the length of each response and published average energy metrics. The goal is not precision, but perspective.

Q: Is my data stored or sent anywhere?
A: No. Everything runs locally in your browser. No storage, no cloud.

Technical

Version
1.1
Manifest
V3
Size
22.71KiB
Min Chrome
88
Languages
1
Featured
No

Metadata

ID
ibmkofmcnlkbjloklikhckodoldaklge
Developer ID
u17392925c9abf26247dea02f008a44d7
Developer Email
[email protected]
Created
Apr 27, 2025
Last Updated (Store)
Aug 3, 2025
Last Scraped
May 30, 2026
Website
Support URL

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Data sourced from the Chrome Web Store · last verified May 30, 2026.