Text / Chat

Phi-4 Mini Environmental Impact

Ultra-efficientEstimated

Compact model with function calling and multilingual support

Architecture
Dense Transformer (compact)
Parameters
3.8B
Context
128,000 tokens
Provider
Microsoft
0.08 Wh
Energy per query
0.03 g
CO₂ per query
0.30 mL
Water per query
about the same as
vs Google search

Energy per query

0.08 Wh

about the same as a Google search (0.3 Wh)

CO2 per query

0.03 g

Global Average grid (475 gCO₂/kWh)

Water per query

0.30 mL

~3,333 queries to fill 1 litre

Processing location

Self-hosted / Azure

Provider

Microsoft

Category

Text / Chat

Grid carbon intensity

475 g CO2/kWh (27% renewable)

How does Phi-4 Mini compare?

Ranked #5 of 152 models by energy per query

0 Wh0.07 Wh0.14 Wh0.21 Wh0.28 WhPhi-4 MiniLLaMA 3.2 1BGemini 1.5 ProGPT-4.1 Nano

Detailed Breakdown

Energy Consumption

Phi-4 Mini is a 3.8B model with native function calling and multilingual support. At ~0.08 Wh per query, it is designed for on-device and edge deployment, competing with Gemma 3 4B and Qwen small models.

Power Source & Carbon

Open-source (MIT licence). Can run on mobile devices, laptops, and edge hardware.

Water Usage

At ~0.3 mL per query on cloud. Zero on consumer devices.

About Phi-4 Mini

At 0.08 Wh per query, Phi-4 Mini is one of the most energy-efficient AI models in existence — ranked #5 across our entire dataset of 152 models. With just 3.8B parameters, it proves that useful AI doesn't have to be expensive to run. As an open-source model, it can be deployed on any hardware, including personal devices. Microsoft released it in February 20, 2025 as a text and chat model: compact model with function calling and multilingual support.

These figures are estimates derived from hardware specifications and API benchmarks — Microsoft has not published official energy data for Phi-4 Mini. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.

Phi-4 Mini in Context

0.7 kWh
per year

Your yearly Phi-4 Mini footprint

At 25 queries per day, your annual Phi-4 Mini usage consumes 0.7 kWh — less than charging your phone for a year. That produces 0.3 kg of CO₂.

Key Insights

Top 10 most energy-efficient model across 152 models tracked
Uses less than a third of the average energy for text and chat models
Open-source weights — can be self-hosted on infrastructure you control

What does your Phi-4 Mini usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Phi-4 Mini.

Calculate My Compute

Frequently Asked Questions

How much energy does Phi-4 Mini use per query?

Each Phi-4 Mini query consumes approximately 0.08 Wh of energy. This is about the same as a traditional Google search (~0.3 Wh).

What is Phi-4 Mini's carbon footprint?

Based on the carbon intensity of Self-hosted / Azure, each query produces approximately 0.03 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 Phi-4 Mini use?

Each query consumes approximately 0.30 mL of water, primarily used for cooling the data centers that process the request.

How does Phi-4 Mini compare to a Google search?

A Phi-4 Mini query uses about the same as a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Phi-4 Mini uses 0.08 Wh.

Technical Details

Architecture

Dense Transformer (compact)

Parameters

3.8B

Context window

128,000 tokens

Release date

2025-02-20

Open source

Yes

Training data cutoff

2025-01