Text / Chat

Perplexity AI Environmental Impact

StandardEstimated

AI search engine combining LLM + web retrieval

Architecture
Multi-model routing + RAG pipeline
Provider
Perplexity
0.50 Wh
Energy per query
0.18 g
CO₂ per query
0.90 mL
Water per query
2x more than
vs Google search

Energy per query

0.50 Wh

2x more than a Google search (0.3 Wh)

CO2 per query

0.18 g

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

Water per query

0.90 mL

~1,111 queries to fill 1 litre

Processing location

AWS US / Multi-cloud

Provider

Perplexity

Category

Text / Chat

Grid carbon intensity

450 g CO2/kWh (25% renewable)

How does Perplexity AI compare?

Ranked #32 of 152 models by energy per query

0 Wh0.15 Wh0.3 Wh0.45 Wh0.6 WhLLaMA 3.2 1BGemini 1.5 ProGPT-4.1 NanoPerplexity AIGoogle search (0.3 Wh)

Detailed Breakdown

Energy Consumption

Perplexity AI consumes approximately 0.50 Wh per search query. This blended estimate accounts for: ~70% of queries routed to a small model (~0.1 Wh), ~30% using GPT-4o class (~0.43 Wh), plus ~0.3 Wh for web search augmentation (crawling, re-ranking, summarisation).

Power Source & Carbon

Perplexity uses a multi-cloud setup, primarily AWS. The web retrieval component adds additional compute beyond the LLM inference itself — each query involves network I/O, web crawling, and document processing.

Water Usage

At approximately 0.9 mL per search query, Perplexity has a modest water footprint. The blended nature of its queries (mostly small model routing) keeps consumption low.

About Perplexity AI

Perplexity AI is a text and chat model from Perplexity, released in January 1, 2024. AI search engine combining LLM + web retrieval. Each query uses 0.50 Wh of energy and produces 0.18 g of CO₂. That's about 1.7x what a Google search consumes.

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

Perplexity AI in Context

4.6 kWh
per year

Your yearly Perplexity AI footprint

At 25 queries per day, your annual Perplexity AI usage consumes 4.6 kWh — comparable to running a LED light bulb for a month. That produces 1.6 kg of CO₂.

Key Insights

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

What does your Perplexity AI usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Perplexity AI.

Calculate My Compute

Frequently Asked Questions

How much energy does Perplexity AI use per query?

Each Perplexity AI query consumes approximately 0.50 Wh of energy. This is 2x more than a traditional Google search (~0.3 Wh).

What is Perplexity AI's carbon footprint?

Based on the carbon intensity of AWS US / Multi-cloud, each query produces approximately 0.18 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 Perplexity AI use?

Each query consumes approximately 0.90 mL of water, primarily used for cooling the data centers that process the request.

How does Perplexity AI compare to a Google search?

A Perplexity AI query uses 2x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Perplexity AI uses 0.50 Wh.

Technical Details

Architecture

Multi-model routing + RAG pipeline

Release date

2024-01-01

Open source

No