Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
68
Gemini 3 Pro Deep Think
86
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Reasoning
+31.5 difference
Claude Sonnet 4.5
Gemini 3 Pro Deep Think
$3 / $15
$null / $null
N/A
N/A
N/A
N/A
200K
2M
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Claude Sonnet 4.5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think is clearly ahead on the provisional aggregate, 86 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in reasoning, where it averages 45.1 against 13.6. The single biggest benchmark swing on the page is ARC-AGI-2, 13.6% to 45.1%.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while Claude Sonnet 4.5 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 200K for Claude Sonnet 4.5.
Gemini 3 Pro Deep Think is ahead on BenchLM's provisional leaderboard, 86 to 68. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 13.6% and 45.1%.
Gemini 3 Pro Deep Think has the edge for reasoning in this comparison, averaging 45.1 versus 13.6. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
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