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How much energy does Grok 4.6 use?

xAI · released 2026-08-12

Grok 4.6 uses about 1.71 Wh of electricity to answer a typical question. A long, complex answer costs about 23× more, at 39.8 Wh. That places it 243 of 266 among the models we can measure, and every figure here is calculated the same way as every other model.

A typical question
1.71 Wh
≈ 3 metres of driving
A long, complex answer
39.8 Wh
≈ 73 metres of driving
Capability
156.3
Energy rank
243 of 266
Human votes
1430

How capable is it, really?

The capability figure of 156.35 is a composite over 58 benchmarks — Epoch AI's Capabilities Index, which folds in software engineering, agentic tool use, long-context comprehension and creative writing as well as science reasoning. It is one number standing for a lot of separate tests, so treat a small gap between two models as noise rather than a ranking.

15,521 people have voted on it in blind head-to-head comparisons on LMArena, giving it a rating of 1430. This is the only figure here that measures whether anyone actually prefers the answers, rather than how the model scores on a test. Broken down, people rate it 1463 on coding, 1437 on creative writing, 1433 on following instructions.

What this figure is

Day-one estimate  Calculated from an estimated parameter count — the maker hasn't published one. Every model on this site is calculated the same way, so the comparison holds even where the absolute value carries uncertainty. Our figures are good to roughly a factor of two to three, which is why we only ever state a difference of 5× or more.

Is there a better choice?

A lighter model that does the job
OpenAI · capability 156.9. It scores higher than Grok 4.6 on Epoch's Capabilities Index (156.86 against 156.35), the composite over 58 benchmarks that the capability figure above comes from, and uses about 5.2× less energy per answer: 7.64 Wh against 39.8 Wh. In blind human voting people rate it 1470 against 1430.

What xAI publishes

Energy cannot be worked out without knowing how big a model is. Of the 10 models from xAI that we track, 2 can be assessed at all — the rest publish too little for anyone outside the company to calculate anything.

Where these figures come from

Capability and the roster come from Epoch AI, whose Capabilities Index is the 58-benchmark composite quoted above. Energy is calculated with EcoLogits and calibrated against laboratory measurements from ML.ENERGY. Human preference comes from LMArena. All four are public and free; the full method is here.

These figures are published under CC BY 4.0 — use them anywhere, including commercially, with credit to The AI Footprint.

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Figure calculated 2026-09-20 · how these numbers are made · the full comparison of 266 models