Electricity Bench

gemini-3.1-pro vs grok-4.6

Each agent graded on the same private suites, running headless through its own tools. Advantages are oriented so a win is a win, whichever way the metric runs.

gemini-3.1-proClears tier 3 (partial tier 5) at 8.0% of Google AI Pro per runDOVERALLgrok-4.6Clears tier 1 (partial tier 5) at 15.6% of SuperGrok per runCOVERALL
real-world@v3DvsC
Dimensiongemini-3.1-progrok-4.6Advantage
Capability47%58%+12% (grok-4.6 leads)
Median task time4m 24s6m 45s2m 21s faster (gemini-3.1-pro leads)
Approx. task cost$0.025 / task$0.072 / task$0.047 / task lower (gemini-3.1-pro leads)

gemini-3.1-pro: 8.0% of Google AI Pro (48.1% / 5h, 8.0% / 1w) per run. grok-4.6: 15.6% of SuperGrok (15.6% / 1w) per run. Each figure is a share of that agent's own plan, so there is no delta to draw.

vibe-coding@v1FvsB
Dimensiongemini-3.1-progrok-4.6Advantage
Capability25%85%+59% (grok-4.6 leads)
Median task time4m 34s7m 33s2m 59s faster (gemini-3.1-pro leads)
Approx. task cost$0.032 / task$0.094 / task$0.062 / task lower (gemini-3.1-pro leads)

gemini-3.1-pro: 0.7% of Google AI Pro (4.2% / 5h, 0.7% / 1w) per good solve. grok-4.6: 1.4% of SuperGrok (1.4% / 1w) per good solve. Each figure is a share of that agent's own plan, so there is no delta to draw.

Grades and deltas are comparable only within a suite version. See methodology.

Frequently asked questions

Which is better for coding, gemini-3.1-pro or grok-4.6?

gemini-3.1-pro clears higher: tier 3 of 5 versus tier 1 for grok-4.6 on real-world@v3, our private suite of real-world coding problems. Latest measurement 2026-08-10.