Model Comparison
GPT-4o vs Qwen3.6 27B
GPT-4o: Ultra-efficientQwen3.6 27B: Standard
Side-by-side environmental impact comparison. Qwen3.6 27B uses 16% more energy per query.
Qwen3.6 27B uses 16% more energy than GPT-4o
0.50 Wh vs 0.43 Wh per query · 0.26 g vs 0.19 g CO₂ · 2 mL vs 2 mL water
GPT-4o
OpenAI
Energy per query0.43 Wh
CO₂ per query0.19 g
Water per query2 mL
VS
Qwen3.6 27B
Alibaba
Energy per query0.50 Wh
CO₂ per query0.26 g
Water per query2 mL
GPT-4o
ProviderOpenAI
CategoryText / Chat
Inference LocationAzure US East / Sweden
Confidencepeer-reviewed
Efficiency TierUltra-efficient
Qwen3.6 27B
ProviderAlibaba
CategoryText / Chat
Inference LocationAlibaba Cloud (China) / self-hosted
Confidenceestimated
Efficiency TierStandard
Frequently Asked Questions
Which uses more energy, GPT-4o or Qwen3.6 27B?
Qwen3.6 27B uses 16% more energy per query than GPT-4o. GPT-4o uses 0.43 Wh per query, while Qwen3.6 27B uses 0.50 Wh.
What is the carbon footprint difference between GPT-4o and Qwen3.6 27B?
Qwen3.6 27B uses 37% more CO₂ per query than GPT-4o. GPT-4o emits 0.19 g of CO₂ per query compared to Qwen3.6 27B's 0.26 g.
Which is more environmentally friendly, GPT-4o or Qwen3.6 27B?
GPT-4o is the more environmentally friendly option, using 0.43 Wh per query compared to Qwen3.6 27B's 0.50 Wh. That makes Qwen3.6 27B roughly 1.2x more energy-intensive.
Calculate your footprint with these models
See how your daily usage of GPT-4o and Qwen3.6 27B adds up over time. Our calculator estimates energy, carbon, and water impact.
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