Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
68
Gemini 3.1 Pro
93
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Reasoning
+63.5 difference
Claude Sonnet 4.5
Gemini 3.1 Pro
$3 / $15
$1.25 / $5
N/A
109 t/s
N/A
29.71s
200K
1M
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3.1 Pro is clearly ahead on the provisional aggregate, 93 to 68. 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 13.6. The single biggest benchmark swing on the page is ARC-AGI-2, 13.6% to 77.1%.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.25 input / $5.00 output per 1M tokens for Gemini 3.1 Pro. That is roughly 3.0x on output cost alone. Gemini 3.1 Pro gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.5.
Gemini 3.1 Pro is ahead on BenchLM's provisional leaderboard, 93 to 68. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 13.6% and 77.1%.
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 13.6. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
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