Image Generation

Midjourney V8 Alpha Environmental Impact

HeavyEstimated

5x faster, native 2K, improved text rendering

Architecture
Diffusion model (next-gen)
Provider
Midjourney
5.0 Wh
Energy per query
1.6 g
CO₂ per query
9 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

1.6 g

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

Water per query

9 mL

~108 queries to fill 1 litre

Processing location

Cloud (US)

Provider

Midjourney

Category

Image Generation

Grid carbon intensity

450 g CO2/kWh (25% renewable)

How does Midjourney V8 Alpha compare?

Ranked #115 of 152 models by energy per query

0 Wh2 Wh4 Wh6 Wh8 WhStable DiffusionXLDALL-E 3Midjourney V8AlphaMidjourneyGoogle search (0.3 Wh)

Detailed Breakdown

Energy Consumption

Midjourney V8 Alpha is 4-5x faster than V7 with native 2K resolution, improved text rendering, and better prompt adherence. At ~5.0 Wh per image, the speed improvements translate to significantly lower energy per image despite higher output quality. Still in alpha as of April 2026.

Power Source & Carbon

Runs on cloud GPU infrastructure. No environmental data published.

Water Usage

At ~9.3 mL per image — lower than V7 due to the speed improvements.

About Midjourney V8 Alpha

Midjourney V8 Alpha is a image generation model from Midjourney, released in March 17, 2026. 5x faster, native 2K, improved text rendering. Each query uses 5.0 Wh of energy and produces 1.6 g of CO₂. That's 17x the energy of a Google search — reflecting the computational demands of image generation.

These figures are estimates derived from hardware specifications and API benchmarks — Midjourney has not published official energy data for Midjourney V8 Alpha. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.

Midjourney V8 Alpha in Context

45.6 kWh
per year

Your yearly Midjourney V8 Alpha footprint

At 25 queries per day, your annual Midjourney V8 Alpha usage consumes 45.6 kWh — roughly what a fridge uses in a month. That produces 14.2 kg of CO₂.

17x
vs a text query

Image vs text: the energy gap

Generating one image with Midjourney V8 Alpha uses 17x 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.

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What does your Midjourney V8 Alpha usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Midjourney V8 Alpha.

Calculate My Compute

Frequently Asked Questions

How much energy does Midjourney V8 Alpha use per query?

Each Midjourney V8 Alpha query consumes approximately 5.0 Wh of energy. This is 17x more than a traditional Google search (~0.3 Wh).

What is Midjourney V8 Alpha's carbon footprint?

Based on the carbon intensity of Cloud (US), each query produces approximately 1.6 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 Midjourney V8 Alpha use?

Each query consumes approximately 9 mL of water, primarily used for cooling the data centers that process the request.

How does Midjourney V8 Alpha compare to a Google search?

A Midjourney V8 Alpha query uses 17x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Midjourney V8 Alpha uses 5.0 Wh.

Technical Details

Architecture

Diffusion model (next-gen)

Release date

2026-03-17

Open source

No