Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
81
Grok 4.20
73
Pick Gemini 3 Pro if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Reasoning
+22.2 difference
Multimodal
+10.3 difference
Gemini 3 Pro
Grok 4.20
$2 / $12
$2 / $6
109 t/s
233 t/s
32.65s
10.33s
2M
2M
Pick Gemini 3 Pro if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Gemini 3 Pro is clearly ahead on the provisional aggregate, 81 to 73. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 81.1 against 70.8. The single biggest benchmark swing on the page is ARC-AGI-2, 31.1% to 53.3%. Grok 4.20 does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Gemini 3 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $2.00 input / $6.00 output per 1M tokens for Grok 4.20. That is roughly 2.0x on output cost alone. Grok 4.20 is the reasoning model in the pair, while Gemini 3 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Gemini 3 Pro is ahead on BenchLM's provisional leaderboard, 81 to 73. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 31.1% and 53.3%.
Grok 4.20 has the edge for reasoning in this comparison, averaging 53.3 versus 31.1. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 70.8. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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