Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.1 Pro
93
Gemini 3 Pro Deep Think
86
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Gemini 3 Pro Deep Think only becomes the better choice if you need the larger 2M context window or you want the stronger reasoning-first profile.
Reasoning
+32.0 difference
Gemini 3.1 Pro
Gemini 3 Pro Deep Think
$1.25 / $5
$null / $null
109 t/s
N/A
29.71s
N/A
1M
2M
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Gemini 3 Pro Deep Think 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, 93 to 86. 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 45.1. The single biggest benchmark swing on the page is ARC-AGI-2, 77.1% to 45.1%.
Gemini 3 Pro Deep Think 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. Gemini 3 Pro Deep Think 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, 93 to 86. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 77.1% and 45.1%.
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 45.1. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
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