Text / Chat

GPT-5.2 Environmental Impact

HeavyEstimated

Three-tier model with Instant/Thinking/Pro reasoning levels

Architecture
Multimodal Transformer with adaptive reasoning
Context
256,000 tokens
Provider
OpenAI
5.0 Wh
Energy per query
2.2 g
CO₂ per query
18 mL
Water per query
17x more than
vs Google search

Energy per query

5.0 Wh

17x more than a Google search (0.3 Wh)

CO2 per query

2.2 g

US East (Virginia) grid (450 gCO₂/kWh)

Water per query

18 mL

~56 queries to fill 1 litre

Processing location

Azure / Multi-cloud

Provider

OpenAI

Category

Text / Chat

Grid carbon intensity

450 g CO2/kWh (25% renewable)

How does GPT-5.2 compare?

Ranked #112 of 152 models by energy per query

0 Wh2 Wh4 Wh6 Wh8 WhLLaMA 3.2 1BGemini 1.5 ProGPT-4.1 NanoGPT-5.2Google search (0.3 Wh)

Detailed Breakdown

Energy Consumption

GPT-5.2 introduced three reasoning tiers: Instant (~1 Wh), Thinking (~5 Wh), and Pro (~15 Wh). We report the Thinking tier as the default. The Pro tier uses extended chain-of-thought similar to o3 and can consume 3x the Thinking tier for complex problems.

Power Source & Carbon

Runs on OpenAI's multi-cloud infrastructure across Azure, AWS, and GCP.

Water Usage

At ~18 mL per Thinking-tier query. The adaptive tier system lets users choose an efficiency/capability trade-off.

About GPT-5.2

GPT-5.2 is a text and chat model from OpenAI, released in December 11, 2025. Three-tier model with Instant/Thinking/Pro reasoning levels. Each query uses 5.0 Wh of energy and produces 2.2 g of CO₂. That's 17x the energy of a Google search — reflecting the computational demands of text and chat.

These figures are estimates derived from hardware specifications and API benchmarks — OpenAI has not published official energy data for GPT-5.2. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.

GPT-5.2 in Context

100%
potential savings

The efficiency alternative

Gemini Nano performs the same type of task using just 0.01 Wh per query — 100% less energy than GPT-5.2. For a user sending 25 queries per day, switching would save 45.5 kWh per year.

500 MWh
estimated daily

At global scale

With an estimated 10M+ daily users averaging 10 queries each, GPT-5.2 consumes roughly 500 MWh of electricity per day — enough to power 16667 homes.

45.6 kWh
per year

Your yearly GPT-5.2 footprint

At 25 queries per day, your annual GPT-5.2 usage consumes 45.6 kWh — roughly what a fridge uses in a month. That produces 19.9 kg of CO₂.

What does your GPT-5.2 usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use GPT-5.2.

Calculate My Compute

Frequently Asked Questions

How much energy does GPT-5.2 use per query?

Each GPT-5.2 query consumes approximately 5.0 Wh of energy. This is 17x more than a traditional Google search (~0.3 Wh).

What is GPT-5.2's carbon footprint?

Based on the carbon intensity of Azure / Multi-cloud, each query produces approximately 2.2 g of CO2. The grid in this region has a carbon intensity of 450 g CO2/kWh with 25% renewable energy.

How much water does GPT-5.2 use?

Each query consumes approximately 18 mL of water, primarily used for cooling the data centers that process the request.

How does GPT-5.2 compare to a Google search?

A GPT-5.2 query uses 17x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while GPT-5.2 uses 5.0 Wh.

Technical Details

Architecture

Multimodal Transformer with adaptive reasoning

Context window

256,000 tokens

Release date

2025-12-11

Open source

No

Training data cutoff

2025-10