Energy per query

2.5 Wh

CO2 per query

0.88 g

Water per query

5 mL

Processing location

AWS US East (Virginia) / US West (Oregon)

Provider

Anthropic

Category

Text / Chat

Grid carbon intensity

450 g CO2/kWh (25% renewable)

How does Claude Sonnet 4 compare?

00.651.31.952.6LLaMA 3.2 1BGemini 1.5 ProGPT-4.1 NanoClaude Sonnet 4

Detailed Breakdown

Energy Consumption

Claude Sonnet 4 consumes approximately 2.5 Wh per query, placing it in a similar efficiency tier to Claude 3.7 Sonnet. As Anthropic's balanced model, it optimizes the trade-off between capability and compute cost.

Power Source & Carbon

Runs on AWS infrastructure in US East (Virginia) and US West (Oregon). Amazon claims to be the largest corporate renewable energy purchaser for 5 consecutive years. Anthropic has not published emissions data.

Water Usage

At approximately 4.7 mL per query, Claude Sonnet 4's water footprint is moderate and proportional to its energy consumption.

What does your Claude Sonnet 4 usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Claude Sonnet 4.

Calculate My Compute

Frequently Asked Questions

How much energy does Claude Sonnet 4 use per query?

Each Claude Sonnet 4 query consumes approximately 2.5 Wh of energy. This is 8x more than a traditional Google search (~0.3 Wh).

What is Claude Sonnet 4's carbon footprint?

Based on the carbon intensity of AWS US East (Virginia) / US West (Oregon), each query produces approximately 0.88 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 Claude Sonnet 4 use?

Each query consumes approximately 5 mL of water, primarily used for cooling the data centers that process the request.

How does Claude Sonnet 4 compare to a Google search?

A Claude Sonnet 4 query uses 8x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Claude Sonnet 4 uses 2.5 Wh.

Technical Details

Architecture

Dense Transformer (decoder-only)

Context window

200,000 tokens

Release date

2025-05-22

Open source

No