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Database entryUsesLevel 3 of 6 useUse, level 3 of 6Used to calculate 29 entries, levels 3 to 6Calculated with 5 entries, levels 1 and 2Database structure

Have a conversation of 10 exchanges

A conversation of 10 questions and 10 one-page answers. Projet Celsius estimate.

  • "Write, with reasoning" accounts for 72% of emissions in this scenario.
  • 15% of the calculation rests on database assumptions; it does not measure actual use.
  • Out of scope: server manufacturing, model training, the network and the user's device.
Calculated with
Used to calculate

Breakdown of emissions by item

1.6 gCO2e in total: 3.5 Wh of electricity × 458 gCO2e/kWh (servers worldwide).

Inputs of the calculation 4

PUE of the data centre, Read 1,000 tokens, Re-read from cache, Write, with reasoning

Annual emissions from having a conversation of 10 exchanges, by frequency

280 times a yearas much as one phone charge per weekCode suggestion, 0.031 gCO2eQuick question, 0.14 gCO2eCreate an image, 1.5 gCO2eConversation of 10 exchanges, 1.6 gCO2eSummarise a meeting, 14 gCO2eDeep research, 45 gCO2eCode agent hour, 310 gCO2e0.01 gCO2e0.1 gCO2e1 gCO2e10 gCO2e100 gCO2e1 kgCO2e10 kgCO2e100 kgCO2e1 tCO2e10 tCO2e1101001,00010,000Number of uses per year
How to read: at 280 uses per year, "Conversation of 10 exchanges" weighs as much as charging a phone every week. Carbon footprint (CO2e) over a year, by number of uses. Each use is a straight line; "Conversation of 10 exchanges" is highlighted, with the chosen parameters, compared with 6 reference uses at their default settings; the solid line shows one phone charge per week over a year, and the point where the task reaches it. Servers worldwide. Calculation from the Projet Celsius AI Impact Database.

How the calculation is built

At each turn, the model re-reads everything that precedes, from the cache. Re-reading grows as the square of the number of exchanges; responses still weigh the most at 10 exchanges.

Comparison with the other uses

The topic "Text and conversation"
  1. Write meeting minutes0.66 gCO2e, 0.4 times the value of "Conversation of 10 exchanges"
  2. Le Chat, LCA1.14 gCO2e, 0.7 times the value of "Conversation of 10 exchanges"
  3. Analyse a spreadsheet1.3 gCO2e, 0.8 times the value of "Conversation of 10 exchanges"
  4. Conversation of 10 exchanges1.6 gCO2e
  5. Query a PDF2.2 gCO2e, 1.3 times the value of "Conversation of 10 exchanges"
  6. Summarise 30 pages2.2 gCO2e, 1.4 times the value of "Conversation of 10 exchanges"
  7. Review a contract2.7 gCO2e, 1.7 times the value of "Conversation of 10 exchanges"

↓ The heaviest use in the topic, "Deep research": 45 gCO2e, 28 times more

Emissions of one use, linear scale, 7 of the 21 uses in the topic. For calculated values, servers worldwide.

Characteristics

Unit1 conversation
Default locationworld, 458 gCO2e/kWh (Ember 2025, life cycle); 11 other locations to choose from
Countedthe model reading and writing tokens, and data centre cooling
Not countedserver manufacturing, model training, the network and the user's device
Statusestimated
All the characteristics identifier, version, rule for the value, sources, licence
IdentifierIA-0201, projetcelsius.com/en/ai/database/IA-0201/
Version0.1 of 2 November 2026
CategoryUses, a request to AI
Choice of the selected valuedatabase calculation from the entries this one is made of, at the quantities of the unit
Sourcescalculation of the database
LicenceCC BY 4.0
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