Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.1 Pro
94
Grok 4.20
77
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if you need the larger 2M context window or you want the stronger reasoning-first profile.
Reasoning
+23.8 difference
Multimodal
+8.7 difference
Gemini 3.1 Pro
Grok 4.20
$1.25 / $5
$2 / $6
109 t/s
233 t/s
29.71s
10.33s
1M
2M
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if you need the larger 2M context window or you want the stronger reasoning-first profile.
Gemini 3.1 Pro is clearly ahead on the provisional aggregate, 94 to 77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Pro's sharpest advantage is in reasoning, where it averages 77.1 against 53.3. The single biggest benchmark swing on the page is GDPval-AA, 1320 to 1055.
Grok 4.20 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $1.25 input / $5.00 output per 1M tokens for Gemini 3.1 Pro. Grok 4.20 is the reasoning model in the pair, while Gemini 3.1 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. Grok 4.20 gives you the larger context window at 2M, compared with 1M for Gemini 3.1 Pro.
Gemini 3.1 Pro is ahead on BenchLM's provisional leaderboard, 94 to 77. The biggest single separator in this matchup is GDPval-AA, where the scores are 1320 and 1055.
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 53.3. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 83.9 versus 75.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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