Live impact tracker

AI that grows you,
not your footprint.

Khio AI is roughly 100× more efficient per query than today's frontier reasoning models like GPT-5.5 and Claude Opus 7. Every conversation saves CO2 and conserves water.

CO2 saved
—kg
vs GPT-5.5 / Opus 7
Water saved
—L
data-center cooling
Real impact. Real time. Real change.
LIVE Updates from real Khio usage
Impact over time
CO2 Saved (kg) Water Saved (L)
CO2 breakdown
—
kg CO2
Total CO2 saved —
Water saved
That's the equivalent of
—km
of driving avoided
—
phone charges of CO2
—
showers of water saved
how this is real (not greenwashing)
1

Efficient models by default

Khio AI is purpose-built to use ~100× less compute per query than a 2026 frontier reasoning model with extended thinking on (GPT-5.5, Claude Opus 7, Gemini Ultra 3). We use exactly enough model for the job, not the biggest available.

Sources: Google AI efficiency reports · Epoch AI 2025-26 frontier model audit
2

Per-query savings, measured

Each Khio message saves ~48g of CO2 and ~120ml of water vs the same query through a 2026 frontier reasoning model. That's ~10× the GPT-4-era benchmark — frontier models genuinely got that much heavier (bigger MoE, default extended thinking, multimodal pipelines).

Sources: Stanford HAI 2024 baseline · Epoch AI / SemiAnalysis 2025-26 scaling estimates · UC Riverside water-footprint follow-up