Text / Chat

Mistral Large 2 Environmental Impact

StandardVerified

Mistral's flagship model with published LCA

Architecture
Dense Transformer (decoder-only)
Parameters
123B
Context
128,000 tokens
Provider
Mistral AI
1.8 Wh
Energy per query
1.1 g
CO₂ per query
45 mL
Water per query
6x more than
vs Google search

Energy per query

1.8 Wh

6x more than a Google search (0.3 Wh)

CO2 per query

1.1 g

Western Europe grid (300 gCO₂/kWh)

Water per query

45 mL

~22 queries to fill 1 litre

Processing location

Azure France / EU regions

Provider

Mistral AI

Category

Text / Chat

Grid carbon intensity

300 g CO2/kWh (45% renewable)

How does Mistral Large 2 compare?

Ranked #81 of 152 models by energy per query

0 Wh0.45 Wh0.9 Wh1.35 Wh1.8 WhLLaMA 3.2 1BGemini 1.5 ProGPT-4.1 NanoMistral Large 2Google search (0.3 Wh)

Detailed Breakdown

Energy Consumption

Mistral Large 2 consumes approximately 1.8 Wh per 400-token response, based on Mistral's official Life Cycle Assessment — one of the few AI companies to publish detailed environmental impact data. At 123B parameters, it is a dense model without MoE optimization.

Power Source & Carbon

Runs primarily on Azure infrastructure in France and EU regions. France's electricity grid has a carbon intensity of approximately 50 g CO2/kWh — among the lowest in Europe — due to its heavy reliance on nuclear power (~70%). This significantly reduces the carbon footprint per query compared to models running on US grids.

Water Usage

At approximately 45 mL per 400-token response, Mistral Large 2's water footprint is notably high according to Mistral's own LCA. This figure includes the full lifecycle water impact including upstream supply chain water use.

About Mistral Large 2

Mistral Large 2 is an open-source text and chat model from Mistral AI, released in July 24, 2024, that runs below the category average for energy consumption at 1.8 Wh per query. Because its weights are publicly available, it can be self-hosted on any infrastructure — meaning its carbon footprint depends entirely on where and how you choose to run it. At 123B parameters, it mistral's flagship model with published lca.

Mistral Large 2 in Context

16.4 kWh
per year

Your yearly Mistral Large 2 footprint

At 25 queries per day, your annual Mistral Large 2 usage consumes 16.4 kWh — roughly what a fridge uses in a month. That produces 10.4 kg of CO₂.

Key Insights

Open-source weights — can be self-hosted on infrastructure you control
Provider-verified energy data — the highest confidence tier in our dataset

What does your Mistral Large 2 usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Mistral Large 2.

Calculate My Compute

Frequently Asked Questions

How much energy does Mistral Large 2 use per query?

Each Mistral Large 2 query consumes approximately 1.8 Wh of energy. This is 6x more than a traditional Google search (~0.3 Wh).

What is Mistral Large 2's carbon footprint?

Based on the carbon intensity of Azure France / EU regions, each query produces approximately 1.1 g of CO2. The grid in this region has a carbon intensity of 300 g CO2/kWh with 45% renewable energy.

How much water does Mistral Large 2 use?

Each query consumes approximately 45 mL of water, primarily used for cooling the data centers that process the request.

How does Mistral Large 2 compare to a Google search?

A Mistral Large 2 query uses 6x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Mistral Large 2 uses 1.8 Wh.

Technical Details

Architecture

Dense Transformer (decoder-only)

Parameters

123B

Context window

128,000 tokens

Release date

2024-07-24

Open source

Yes