LLaMA 3.2 1B Energy Usage & Carbon Footprint

Q: How much energy does LLaMA 3.2 1B use per query?

Each LLaMA 3.2 1B query consumes approximately 0.218 Wh of energy. This is about the same as a traditional Google search (~0.3 Wh).

Q: What is LLaMA 3.2 1B's carbon footprint?

Based on the carbon intensity of its inference location (Self-hosted (varies)), each LLaMA 3.2 1B query produces approximately 0.08g of CO2.

Q: How does LLaMA 3.2 1B compare to a Google search?

A LLaMA 3.2 1B query uses about the same as a traditional Google search in terms of energy consumption. A Google search uses approximately 0.3 Wh, while LLaMA 3.2 1B uses 0.218 Wh per query.

Q: How much water does LLaMA 3.2 1B use?

Each LLaMA 3.2 1B query consumes approximately 1 mL of water, primarily used for cooling the data centers that process the request.

Energy per query

0.22 Wh

CO2 per query

0.08 g

Water per query

1 mL

Processing location

Self-hosted (varies)

Provider

How does LLaMA 3.2 1B compare?

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Detailed Breakdown

Energy Consumption

LLaMA 3.2 1B is the most energy-efficient model in our dataset at just 0.218 Wh per query. With only 1 billion parameters, it requires a fraction of the compute needed by larger models. It can even run on a single consumer GPU or a modern smartphone, making it one of the few models where edge deployment (running on your device) is viable.

arXiv — Benchmarking Energy, Water, and Carbon of LLM Inference (2025)

Power Source & Carbon

As an open-source model, LLaMA 3.2 1B can be self-hosted anywhere — on cloud providers, on-premises servers, or even on a personal laptop. The carbon impact depends entirely on where it's run. If deployed on a laptop in France (nuclear grid, ~50 g CO2/kWh), it would produce roughly 15x less CO2 than running in a coal-heavy region. Meta's own data centers run about 60% on renewable energy.

Meta Infrastructure Evolution (2025)

Water Usage

At approximately 1 mL per query, LLaMA 3.2 1B's water footprint is negligible. If run locally on a personal device, water consumption for cooling drops to effectively zero since personal devices use passive or fan-based cooling rather than water-based cooling systems.

Built In — How edge computing can solve AI's energy crisis

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Frequently Asked Questions

How much energy does LLaMA 3.2 1B use per query?

Each LLaMA 3.2 1B query consumes approximately 0.22 Wh of energy. This is about the same as a traditional Google search (~0.3 Wh).

What is LLaMA 3.2 1B's carbon footprint?

Based on the carbon intensity of Self-hosted (varies), each query produces approximately 0.08 g of CO2. The grid in this region has a carbon intensity of 475 g CO2/kWh with 27% renewable energy.

How much water does LLaMA 3.2 1B use?

Each query consumes approximately 1 mL of water, primarily used for cooling the data centers that process the request.

How does LLaMA 3.2 1B compare to a Google search?

A LLaMA 3.2 1B query uses about the same as a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while LLaMA 3.2 1B uses 0.22 Wh.