Electricity Bench

gemini-3.6-flash vs grok-4.5

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-3.6-flashClears tier 4 (partial tier 5) at 12.6% of Google AI Pro per runCOVERALLgrok-4.5Clears tier 4 (partial tier 5) at 6.9% of SuperGrok per runCOVERALL
real-world@v3CvsC
Dimensiongemini-3.6-flashgrok-4.5Advantage
Capability60%60%Even
Median task time2m 17s3m 9s53s faster (gemini-3.6-flash leads)
Approx. task cost$0.039 / task$0.032 / task$0.007 / task lower (grok-4.5 leads)

gemini-3.6-flash: 12.6% of Google AI Pro (about 72.1% / 5h, 12.6% / 1w) per run. grok-4.5: 6.9% of SuperGrok (6.9% / 1w) per run. Each figure is a share of that agent's own plan, so there is no delta to draw.

vibe-coding@v1CvsC
Dimensiongemini-3.6-flashgrok-4.5Advantage
Capability72%59%+13% (gemini-3.6-flash leads)
Median task time1m 54s3m 40s1m 46s faster (gemini-3.6-flash leads)
Approx. task cost$0.038 / task$0.031 / task$0.007 / task lower (grok-4.5 leads)

gemini-3.6-flash: 0.8% of Google AI Pro (4.9% / 5h, 0.8% / 1w) per good solve. grok-4.5: 0.4% of SuperGrok (0.4% / 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-3.6-flash or grok-4.5?

They are even on our ladder: both clear tier 4 of 5 at 60% capability on real-world@v3, our private suite of real-world coding problems. Latest measurement 2026-08-10.