Text / Chat

Gemini 2.5 Flash Environmental Impact

Ultra-efficientEstimated

Google's fast reasoning model — best price-performance

Architecture
Multimodal Transformer (MoE, adaptive thinking)
Context
1,000,000 tokens
Provider
Google
0.35 Wh
Energy per query
0.05 g
CO₂ per query
0.38 mL
Water per query
about the same as
vs Google search

Energy per query

0.35 Wh

about the same as a Google search (0.3 Wh)

CO2 per query

0.05 g

Google Global Network grid (300 gCO₂/kWh)

Water per query

0.38 mL

~2,632 queries to fill 1 litre

Processing location

Google global network (64% renewable)

Provider

Google

Category

Text / Chat

Grid carbon intensity

300 g CO2/kWh (64% renewable)

How does Gemini 2.5 Flash compare?

Ranked #21 of 152 models by energy per query

0 Wh0.09 Wh0.18 Wh0.27 Wh0.36 WhLLaMA 3.2 1BGemini 1.5 ProGPT-4.1 NanoGemini 2.5 FlashGoogle search (0.3 Wh)

Detailed Breakdown

Energy Consumption

Gemini 2.5 Flash is optimised for speed and cost, consuming approximately 0.35 Wh per median query. It supports adaptive thinking but defaults to minimal reasoning overhead for simple queries. At roughly 1.5x the base Gemini median (0.24 Wh), it's significantly more efficient than 2.5 Pro while still supporting chain-of-thought reasoning when needed.

Power Source & Carbon

Runs on Google's custom TPU infrastructure with 100% renewable energy matching and a PUE of 1.10.

Water Usage

At approximately 0.38 mL per query, Gemini 2.5 Flash has a very low water footprint.

About Gemini 2.5 Flash

Gemini 2.5 Flash is a text and chat model from Google, released in May 20, 2025. Google's fast reasoning model — best price-performance. Each query uses 0.35 Wh of energy and produces 0.05 g of CO₂. That's roughly comparable to a traditional Google search. It ranks in the top quartile of text and chat models for energy efficiency (#19 of 94).

Gemini 2.5 Flash benefits from running in Google Global Network, one of the cleaner grid regions in our dataset at 300 gCO₂/kWh with 64% renewable energy. The same model running in a coal-heavy region would produce significantly more carbon per query.

These figures are estimates derived from hardware specifications and API benchmarks — Google has not published official energy data for Gemini 2.5 Flash. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.

Gemini 2.5 Flash in Context

35 MWh
estimated daily

At global scale

With an estimated 10M+ daily users averaging 10 queries each, Gemini 2.5 Flash consumes roughly 35 MWh of electricity per day — enough to power 1167 homes.

3.2 kWh
per year

Your yearly Gemini 2.5 Flash footprint

At 25 queries per day, your annual Gemini 2.5 Flash usage consumes 3.2 kWh — comparable to running a LED light bulb for a month. That produces 0.5 kg of CO₂.

Key Insights

Uses less than a third of the average energy for text and chat models

What does your Gemini 2.5 Flash usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Gemini 2.5 Flash.

Calculate My Compute

Frequently Asked Questions

How much energy does Gemini 2.5 Flash use per query?

Each Gemini 2.5 Flash query consumes approximately 0.35 Wh of energy. This is about the same as a traditional Google search (~0.3 Wh).

What is Gemini 2.5 Flash's carbon footprint?

Based on the carbon intensity of Google global network (64% renewable), each query produces approximately 0.05 g of CO2. The grid in this region has a carbon intensity of 300 g CO2/kWh with 64% renewable energy.

How much water does Gemini 2.5 Flash use?

Each query consumes approximately 0.38 mL of water, primarily used for cooling the data centers that process the request.

How does Gemini 2.5 Flash compare to a Google search?

A Gemini 2.5 Flash query uses about the same as a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Gemini 2.5 Flash uses 0.35 Wh.

Technical Details

Architecture

Multimodal Transformer (MoE, adaptive thinking)

Context window

1,000,000 tokens

Release date

2025-05-20

Open source

No

Training data cutoff

2025-03