GPT-4o Image Generation Environmental Impact
Native image generation inside ChatGPT
- Architecture
- Autoregressive image generation (native to GPT-4o)
- Provider
- OpenAI
Energy per query
4.5 Wh
15x more than a Google search (0.3 Wh)
CO2 per query
2.0 g
US East (Virginia) grid (450 gCO₂/kWh)
Water per query
16 mL
~63 queries to fill 1 litre
Processing location
Azure US East / Sweden
Provider
OpenAI
Category
Image Generation
Grid carbon intensity
450 g CO2/kWh (25% renewable)
How does GPT-4o Image Generation compare?
Detailed Breakdown
Energy Consumption
GPT-4o's native image generation is distinct from DALL-E 3 — it uses autoregressive token generation rather than a separate diffusion model. Estimated at ~4.5 Wh per image, reflecting the full GPT-4o model generating high-resolution image tokens alongside text reasoning. This is more expensive than DALL-E 3 alone because the entire GPT-4o model is engaged.
Power Source & Carbon
Runs on Microsoft Azure, sharing infrastructure with GPT-4o text inference.
Water Usage
At approximately 16 mL per image, reflecting the extended GPU time required for autoregressive image token generation.
About GPT-4o Image Generation
GPT-4o Image Generation is a image generation model from OpenAI, released in March 25, 2025. Native image generation inside ChatGPT. Each query uses 4.5 Wh of energy and produces 2.0 g of CO₂. That's 15x the energy of a Google search — reflecting the computational demands of image generation.
These figures are estimates derived from hardware specifications and API benchmarks — OpenAI has not published official energy data for GPT-4o Image Generation. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.
GPT-4o Image Generation in Context
At global scale
With an estimated 10M+ daily users averaging 10 queries each, GPT-4o Image Generation consumes roughly 450 MWh of electricity per day — enough to power 15000 homes.
Your yearly GPT-4o Image Generation footprint
At 25 queries per day, your annual GPT-4o Image Generation usage consumes 41.1 kWh — roughly what a fridge uses in a month. That produces 18.3 kg of CO₂.
Image vs text: the energy gap
Generating one image with GPT-4o Image Generation uses 15x more energy than a text conversation with ChatGPT. The diffusion process that creates images requires many iterative passes through the model, each refining the image from noise — far more compute per output than generating text one token at a time.
OpenAI GPT Family
How energy efficiency has evolved across versions.
What does your GPT-4o Image Generation usage cost the planet?
Use our calculator to estimate your personal environmental footprint based on how often you use GPT-4o Image Generation.
Calculate My ComputeFrequently Asked Questions
How much energy does GPT-4o Image Generation use per query?
Each GPT-4o Image Generation query consumes approximately 4.5 Wh of energy. This is 15x more than a traditional Google search (~0.3 Wh).
What is GPT-4o Image Generation's carbon footprint?
Based on the carbon intensity of Azure US East / Sweden, each query produces approximately 2.0 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-4o Image Generation use?
Each query consumes approximately 16 mL of water, primarily used for cooling the data centers that process the request.
How does GPT-4o Image Generation compare to a Google search?
A GPT-4o Image Generation query uses 15x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while GPT-4o Image Generation uses 4.5 Wh.
Technical Details
Architecture
Autoregressive image generation (native to GPT-4o)
Release date
2025-03-25
Open source
No