Model Comparison
GPT-4o vs Qwen3.5 (397B-A17B)
GPT-4o: Ultra-efficientQwen3.5 (397B-A17B): Standard
Side-by-side environmental impact comparison. Qwen3.5 (397B-A17B) uses 2.6x more energy per query.
Qwen3.5 (397B-A17B) uses 2.6x more energy than GPT-4o
1.1 Wh vs 0.43 Wh per query · 0.58 g vs 0.19 g CO₂ · 4 mL vs 2 mL water
GPT-4o
OpenAI
Energy per query0.43 Wh
CO₂ per query0.19 g
Water per query2 mL
VS
Qwen3.5 (397B-A17B)
Alibaba
Energy per query1.1 Wh
CO₂ per query0.58 g
Water per query4 mL
GPT-4o
ProviderOpenAI
CategoryText / Chat
Inference LocationAzure US East / Sweden
Confidencepeer-reviewed
Efficiency TierUltra-efficient
Qwen3.5 (397B-A17B)
ProviderAlibaba
CategoryText / Chat
Inference LocationAlibaba Cloud (China) / self-hosted
Confidenceestimated
Efficiency TierStandard
Frequently Asked Questions
Which uses more energy, GPT-4o or Qwen3.5 (397B-A17B)?
Qwen3.5 (397B-A17B) uses 2.6x more energy per query than GPT-4o. GPT-4o uses 0.43 Wh per query, while Qwen3.5 (397B-A17B) uses 1.1 Wh.
What is the carbon footprint difference between GPT-4o and Qwen3.5 (397B-A17B)?
Qwen3.5 (397B-A17B) uses 3.1x more CO₂ per query than GPT-4o. GPT-4o emits 0.19 g of CO₂ per query compared to Qwen3.5 (397B-A17B)'s 0.58 g.
Which is more environmentally friendly, GPT-4o or Qwen3.5 (397B-A17B)?
GPT-4o is the more environmentally friendly option, using 0.43 Wh per query compared to Qwen3.5 (397B-A17B)'s 1.1 Wh. That makes Qwen3.5 (397B-A17B) roughly 2.6x more energy-intensive.
Calculate your footprint with these models
See how your daily usage of GPT-4o and Qwen3.5 (397B-A17B) adds up over time. Our calculator estimates energy, carbon, and water impact.
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