Text / Chat

Claude Opus 4.6 Environmental Impact

HeavyEstimated

Anthropic's most capable model — 80.8% SWE-Bench, 1M context

Architecture
Dense Transformer with Extended Thinking
Context
1,000,000 tokens
Provider
Anthropic
6.5 Wh
Energy per query
2.3 g
CO₂ per query
12 mL
Water per query
22x more than
vs Google search

Energy per query

6.5 Wh

22x more than a Google search (0.3 Wh)

CO2 per query

2.3 g

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

Water per query

12 mL

~82 queries to fill 1 litre

Processing location

AWS / GCP

Provider

Anthropic

Category

Text / Chat

Grid carbon intensity

450 g CO2/kWh (25% renewable)

How does Claude Opus 4.6 compare?

Ranked #120 of 152 models by energy per query

0 Wh2 Wh4 Wh6 Wh8 WhLLaMA 3.2 1BGemini 1.5 ProGPT-4.1 NanoClaude Opus 4.6Google search (0.3 Wh)

Detailed Breakdown

Energy Consumption

Claude Opus 4.6 is Anthropic's most capable model, achieving 80.8% on SWE-Bench Verified — the highest of any model. At ~6.5 Wh per query, it is energy-intensive but delivers frontier capabilities. Extended Thinking mode and Agent Teams (multi-instance parallel reasoning) can multiply energy consumption significantly for complex tasks. The 1M token context window with 300K max output further increases potential per-query energy.

Power Source & Carbon

Runs on AWS and Google Cloud infrastructure. The Agent Teams feature — where multiple Opus instances collaborate in parallel — means a single user task can invoke several model instances simultaneously, multiplying the infrastructure load.

Water Usage

At ~12.2 mL per query for a standard request. Extended Thinking and Agent Teams workflows can consume significantly more water as multiple GPU clusters run in parallel.

About Claude Opus 4.6

Claude Opus 4.6 is a text and chat model from Anthropic, released in February 5, 2026. Anthropic's most capable model — 80.8% SWE-Bench, 1M context. Each query uses 6.5 Wh of energy and produces 2.3 g of CO₂. That's 22x 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 — Anthropic has not published official energy data for Claude Opus 4.6. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.

Claude Opus 4.6 in Context

100%
potential savings

The efficiency alternative

Gemini Nano performs the same type of task using just 0.01 Wh per query — 100% less energy than Claude Opus 4.6. For a user sending 25 queries per day, switching would save 59.2 kWh per year.

650 MWh
estimated daily

At global scale

With an estimated 10M+ daily users averaging 10 queries each, Claude Opus 4.6 consumes roughly 650 MWh of electricity per day — enough to power 21667 homes.

59.3 kWh
per year

Your yearly Claude Opus 4.6 footprint

At 25 queries per day, your annual Claude Opus 4.6 usage consumes 59.3 kWh — a meaningful fraction of household electricity. That produces 20.8 kg of CO₂.

What does your Claude Opus 4.6 usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Claude Opus 4.6.

Calculate My Compute

Frequently Asked Questions

How much energy does Claude Opus 4.6 use per query?

Each Claude Opus 4.6 query consumes approximately 6.5 Wh of energy. This is 22x more than a traditional Google search (~0.3 Wh).

What is Claude Opus 4.6's carbon footprint?

Based on the carbon intensity of AWS / GCP, each query produces approximately 2.3 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 Opus 4.6 use?

Each query consumes approximately 12 mL of water, primarily used for cooling the data centers that process the request.

How does Claude Opus 4.6 compare to a Google search?

A Claude Opus 4.6 query uses 22x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Claude Opus 4.6 uses 6.5 Wh.

Technical Details

Architecture

Dense Transformer with Extended Thinking

Context window

1,000,000 tokens

Release date

2026-02-05

Open source

No

Training data cutoff

2026-01