AI Provider Profile

Meta Sustainability Profile

Medium Transparency

Environmental impact data for 9 tracked Meta models.

9
Models tracked
1.2 Wh
Avg. energy / query
2
Categories
9
Open-source

Sustainability Profile

Renewable Energy

Grid-based matching

Emissions Trend

Growing with AI investment

Water Trend

Not disclosed in detail

Transparency Rating

Medium

Pursuing nuclear power for data centers.

How Meta Compares

Meta's average metrics compared to the full dataset of 152 models

Energy / query

This provider1.2 Wh
Dataset avg.48.1 Wh
Difference-97%

CO2 / query

Provider avg.0.49 g
Dataset avg.14.5 g
Difference-97%

Water / query

Provider avg.2 mL
Dataset avg.105 mL
Difference-98%

Environmental Overview

With 9 models across 2 categories, Meta has a substantial presence in the AI landscape. Their models are notably efficient, averaging 1.2 Wh per query — less than half the dataset average of 48.1 Wh. Their lineup spans from LLaMA 3.2 1B (0.22 Wh) to LLaMA 3.1 405B (4.0 Wh), showing meaningful variation in energy needs. All of their tracked models have open-source weights, enabling community-driven optimization and independent efficiency benchmarking. Meta provides partial environmental disclosures. Pursuing nuclear power for data centers.

Frequently Asked Questions

How many AI models does Meta have?

Meta has 9 AI models tracked in the Know Your Compute database, spanning 2 categories: Text / Chat, Multimodal.

What is Meta's most energy-efficient model?

Meta's most energy-efficient model is LLaMA 3.2 1B, consuming 0.22 Wh per query. Their least efficient model is LLaMA 3.1 405B at 4.0 Wh per query.

Does Meta use renewable energy?

Meta's renewable energy claim: Grid-based matching. Pursuing nuclear power for data centers.

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