GPT-5.5 Environmental Impact
OpenAI's flagship — routes more traffic through reasoning than GPT-5.4
Energy per query
6.0 Wh
20x more than a Google search (0.3 Wh)
CO2 per query
2.6 g
US East (Virginia) grid (450 gCO₂/kWh)
Water per query
22 mL
~46 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-5.5 compare?
Detailed Breakdown
Energy Consumption
GPT-5.5 succeeded GPT-5.4 as OpenAI's flagship in April 2026, routing a larger share of traffic through reasoning modes. We estimate ~6.0 Wh per Standard-tier query — slightly above GPT-5.4's 5.5 Wh to reflect the heavier default reasoning. OpenAI has not published per-query figures for any GPT-5.x model; the Joule 2026 production study suggests fleet medians for frontier models are far lower than benchmark-style estimates (0.31 Wh median, 3.91 Wh with test-time scaling), so treat this as a prompt-class point estimate, not a fleet average.
Power Source & Carbon
Runs across Azure, AWS, and GCP in the US East region and beyond. We apply the same ~437 gCO2/kWh blended intensity used for other OpenAI-stack entries.
Water Usage
At ~21.6 mL per query, using the 3.6 L/kWh combined on-site + off-site water factor applied to OpenAI-stack entries.
About GPT-5.5
GPT-5.5 is a text and chat model from OpenAI, released in April 23, 2026. OpenAI's flagship — routes more traffic through reasoning than GPT-5.4. Each query uses 6.0 Wh of energy and produces 2.6 g of CO₂. That's 20x 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-5.5. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.
GPT-5.5 in Context
The efficiency alternative
Gemini Nano performs the same type of task using just 0.01 Wh per query — 100% less energy than GPT-5.5. For a user sending 25 queries per day, switching would save 54.6 kWh per year.
At global scale
With an estimated 10M+ daily users averaging 10 queries each, GPT-5.5 consumes roughly 600 MWh of electricity per day — enough to power 20000 homes.
Your yearly GPT-5.5 footprint
At 25 queries per day, your annual GPT-5.5 usage consumes 54.8 kWh — a meaningful fraction of household electricity. That produces 23.9 kg of CO₂.
OpenAI GPT Family
How energy efficiency has evolved across versions.
What does your GPT-5.5 usage cost the planet?
Use our calculator to estimate your personal environmental footprint based on how often you use GPT-5.5.
Calculate My ComputeFrequently Asked Questions
How much energy does GPT-5.5 use per query?
Each GPT-5.5 query consumes approximately 6.0 Wh of energy. This is 20x more than a traditional Google search (~0.3 Wh).
What is GPT-5.5's carbon footprint?
Based on the carbon intensity of Azure / Multi-cloud, each query produces approximately 2.6 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-5.5 use?
Each query consumes approximately 22 mL of water, primarily used for cooling the data centers that process the request.
How does GPT-5.5 compare to a Google search?
A GPT-5.5 query uses 20x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while GPT-5.5 uses 6.0 Wh.
Technical Details
Architecture
Multimodal Transformer with adaptive reasoning routing
Context window
512,000 tokens
Release date
2026-04-23
Open source
No
Training data cutoff
2026-03