AI is silently draining the planet.

One GPT‑5 query uses ~100 J.

EcoLogic uses NLP to route your query to the right model—up to 1,000× less energy.

Up to 1,000× more energy efficient than GPT‑5.

NLP classifies your question and routes it to the smallest model that can answer it.

Most queries need 4 billion parameters.

Not 200 billion. NLP determines which model fits your question—no energy wasted.

EcoLogic

What if AI asked itself:
Do I really need the biggest model?

EcoLogic uses NLP to classify each query and route it to the smallest model capable of answering—from 4B to 200B+ parameters. Simple questions cost ~0.1 J. Complex code queries cost ~12 J. The same query on GPT‑5 would cost ~100 J. Every response shows the savings.

Enter EcoLogic NLP-routed · up to 1,000× less energy than GPT‑5 · Free Tier 2

How it works

Governance replaces guesswork: classify, route, and reveal.

Classify. NLP analyzes your query to determine complexity—simple fact, analytical reasoning, or code.

Route. Simple facts → Tier 1 (4B, ~0.1 J), analysis → Tier 2 (15B, ~0.3 J), code → Tier 3 (~12 J).

Reveal. Every response shows exact energy used and saved versus GPT‑5—up to 1,000× less energy.

Model tiers

The tiers are fixed. Escalation is a policy choice.

Tier 1 — Gemma 3N (4B)

~0.1 J per query · default

4B params, FP8 quantized · up to 1,000× less energy than GPT‑5

Tier 2 — Apriel 1.6 (15B)

~0.3 J per query · FREE

15B params, frontier reasoning · up to 333× less energy than GPT‑5

Tier 3 — GPT‑4o

~12 J per query · reserved

200B+ params · Code & specialized domains · Still 8× less energy than GPT‑5

Sources

Epoch AI (2025): Energy per ChatGPT query IEA (2025): Energy and AI URI AI Lab (2025): GPT‑5 consumes 8.6× more power than GPT‑4