Environmental Impact

Every prompt
tracked & measured

Quantified sustainability gains from prompt optimization, smart routing, and carbon-aware inference. Real numbers from real usage.

Stats update as the framework is used
Global Reach

Growing every day

Real usage statistics from the GreenInfer platform and GreenPrompts Optimizer combined.

5,847
Total Users
+5 today
38,456
Prompts Optimized
All sessions
31.2
Wh Energy Saved
vs always-large
14.8g
CO₂ Avoided
This month
97%
Energy Saved
Small vs Large
Recent activity
Anonymized usage events across the platform
Model Routing Distribution
Queries routed to each tier (balanced mode)
Llama 1B (S)
55%0.9 mWh
Llama 8B (M)
35%3.8 mWh
Llama 70B (L)
10%48 mWh
Avg energy/query: 4.5 mWh Baseline: ~48 mWh
Where the savings come from
Energy reduction by framework component
✂️ Prompt Optimization-38% tokens
⚡ Model Tier Routing-91% per small query
🌿 Carbon-Aware Scheduling-12% CO₂
🔄 Cascade GatingStops escalation
Combined avg reduction~73%
Pareto Frontier — Accuracy vs Energy
Optimal routing curve across model tiers
CO₂ — GreenInfer vs Baseline
Across 20 benchmark queries
GreenInfer
Baseline
GreenInfer: 0.84g CO₂ Baseline: 3.12g CO₂
Grid Awareness

ERCOT Carbon Intensity

CURRENT INTENSITY Estimated
198 gCO₂/kWh
0 (Clean)400 (Moderate)800+ (Heavy)
Grid favorable — Balanced routing active
BENCHMARK RESULTS (20-PROMPT TEST SET)
Routing accuracy55%
Energy saved vs baseline97%
CO₂ avoided (test set)183.6g
Classifier accuracy98.9%