Qwen3.7-Max Environmental Impact
Alibaba's hosted flagship — 1M context, agentic workflows
Energy per query
1.6 Wh
5x more than a Google search (0.3 Wh)
CO2 per query
0.84 g
China grid (525 gCO₂/kWh)
Water per query
6 mL
~169 queries to fill 1 litre
Processing location
Alibaba Cloud (China)
Provider
Alibaba
Category
Text / Chat
Grid carbon intensity
525 g CO2/kWh (33% renewable)
How does Qwen3.7-Max compare?
Detailed Breakdown
Energy Consumption
Qwen3.7-Max is Alibaba's hosted flagship, announced at the Apsara Summit with a 1M context window and autonomous agentic workflows (Qwen3.7-Plus followed in June). We estimate ~1.6 Wh per short query; agentic and deep-reasoning modes will run substantially higher.
Power Source & Carbon
Hosted on Alibaba Cloud in China (~525 gCO2/kWh, Ember 2026).
Water Usage
At ~5.9 mL per query on Chinese infrastructure (3.7 L/kWh combined water factor).
About Qwen3.7-Max
Qwen3.7-Max is a text and chat model from Alibaba, released in May 20, 2026. Alibaba's hosted flagship — 1M context, agentic workflows. Each query uses 1.6 Wh of energy and produces 0.84 g of CO₂. That's 5x the energy of a Google search — reflecting the computational demands of text and chat.
These figures are estimates derived from hardware specifications and API benchmarks — Alibaba has not published official energy data for Qwen3.7-Max. Actual consumption may vary significantly depending on batching, quantisation, and infrastructure optimisations that we cannot observe from outside.
Qwen3.7-Max in Context
Your yearly Qwen3.7-Max footprint
At 25 queries per day, your annual Qwen3.7-Max usage consumes 14.6 kWh — roughly what a fridge uses in a month. That produces 7.7 kg of CO₂.
What does your Qwen3.7-Max usage cost the planet?
Use our calculator to estimate your personal environmental footprint based on how often you use Qwen3.7-Max.
Calculate My ComputeFrequently Asked Questions
How much energy does Qwen3.7-Max use per query?
Each Qwen3.7-Max query consumes approximately 1.6 Wh of energy. This is 5x more than a traditional Google search (~0.3 Wh).
What is Qwen3.7-Max's carbon footprint?
Based on the carbon intensity of Alibaba Cloud (China), each query produces approximately 0.84 g of CO2. The grid in this region has a carbon intensity of 525 g CO2/kWh with 33% renewable energy.
How much water does Qwen3.7-Max use?
Each query consumes approximately 6 mL of water, primarily used for cooling the data centers that process the request.
How does Qwen3.7-Max compare to a Google search?
A Qwen3.7-Max query uses 5x more than a Google search in terms of energy. A Google search uses approximately 0.3 Wh, while Qwen3.7-Max uses 1.6 Wh.
Technical Details
Architecture
Mixture-of-Experts Transformer with deep reasoning and tool invocation
Context window
1,000,000 tokens
Release date
2026-05-20
Open source
No
Training data cutoff
2026-04