Model Comparison
GPT-4o vs Jamba 1.5 Large
GPT-4o: Ultra-efficientJamba 1.5 Large: Standard
Side-by-side environmental impact comparison. Jamba 1.5 Large uses 2.3x more energy per query.
Jamba 1.5 Large uses 2.3x more energy than GPT-4o
1.0 Wh vs 0.43 Wh per query · 0.45 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
Jamba 1.5 Large
AI21 Labs
Energy per query1.0 Wh
CO₂ per query0.45 g
Water per query2 mL
GPT-4o
ProviderOpenAI
CategoryText / Chat
Inference LocationAzure US East / Sweden
Confidencepeer-reviewed
Efficiency TierUltra-efficient
Jamba 1.5 Large
ProviderAI21 Labs
CategoryText / Chat
Inference LocationCloud (US)
Confidenceestimated
Efficiency TierStandard
Frequently Asked Questions
Which uses more energy, GPT-4o or Jamba 1.5 Large?
Jamba 1.5 Large uses 2.3x more energy per query than GPT-4o. GPT-4o uses 0.43 Wh per query, while Jamba 1.5 Large uses 1.0 Wh.
What is the carbon footprint difference between GPT-4o and Jamba 1.5 Large?
Jamba 1.5 Large uses 2.4x more CO₂ per query than GPT-4o. GPT-4o emits 0.19 g of CO₂ per query compared to Jamba 1.5 Large's 0.45 g.
Which is more environmentally friendly, GPT-4o or Jamba 1.5 Large?
GPT-4o is the more environmentally friendly option, using 0.43 Wh per query compared to Jamba 1.5 Large's 1.0 Wh. That makes Jamba 1.5 Large roughly 2.3x more energy-intensive.
Calculate your footprint with these models
See how your daily usage of GPT-4o and Jamba 1.5 Large adds up over time. Our calculator estimates energy, carbon, and water impact.
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