Text / Chat

Qwen 3.5 32B Environmental Impact

StandardEstimated

Popular mid-size open model for self-hosting

Architecture
Dense Transformer with hybrid thinking
Parameters
32B
Context
262,000 tokens
Provider
Alibaba
0.55 Wh
Energy per query
0.30 g
CO₂ per query
2 mL
Water per query
2x more than
vs Google search

Energy per query

0.55 Wh

2x more than a Google search (0.3 Wh)

CO2 per query

0.30 g

Global Average grid (475 gCO₂/kWh)

Water per query

2 mL

~500 queries to fill 1 litre

Processing location

Self-hosted (varies)

Provider

Alibaba

Category

Text / Chat

Grid carbon intensity

475 g CO2/kWh (27% renewable)

How does Qwen 3.5 32B compare?

Ranked #37 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 NanoQwen 3.5 32BGoogle search (0.3 Wh)

Detailed Breakdown

Energy Consumption

Qwen 3.5 32B hits the sweet spot for self-hosting — capable enough for most tasks at ~0.55 Wh per query while fitting on a single GPU with quantisation. Part of a family spanning 0.8B to 397B, all Apache 2.0 licensed.

Power Source & Carbon

Fully open-source. Very popular on Ollama and Hugging Face for local deployment.

Water Usage

At ~2.0 mL per query. Zero when self-hosted on consumer hardware.

About Qwen 3.5 32B

Qwen 3.5 32B is an open-source text and chat model from Alibaba, released in February 15, 2026, that runs well below the category average for energy consumption at 0.55 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 32B parameters, it popular mid-size open model for self-hosting.

These figures are estimates derived from hardware specifications and API benchmarks — Alibaba has not published official energy data for Qwen 3.5 32B. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.

Qwen 3.5 32B in Context

5.0 kWh
per year

Your yearly Qwen 3.5 32B footprint

At 25 queries per day, your annual Qwen 3.5 32B usage consumes 5.0 kWh — comparable to running a LED light bulb for a month. That produces 2.7 kg of CO₂.

Key Insights

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 Qwen 3.5 32B usage cost the planet?

Use our calculator to estimate your personal environmental footprint based on how often you use Qwen 3.5 32B.

Calculate My Compute

Frequently Asked Questions

How much energy does Qwen 3.5 32B use per query?

Each Qwen 3.5 32B query consumes approximately 0.55 Wh of energy. This is 2x more than a traditional Google search (~0.3 Wh).

What is Qwen 3.5 32B's carbon footprint?

Based on the carbon intensity of Self-hosted (varies), each query produces approximately 0.30 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 Qwen 3.5 32B use?

Each query consumes approximately 2 mL of water, primarily used for cooling the data centers that process the request.

How does Qwen 3.5 32B compare to a Google search?

A Qwen 3.5 32B query uses 2x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Qwen 3.5 32B uses 0.55 Wh.

Technical Details

Architecture

Dense Transformer with hybrid thinking

Parameters

32B

Context window

262,000 tokens

Release date

2026-02-15

Open source

Yes

Training data cutoff

2026-01