Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
83
GPT-5.5
89
Verified leaderboard positions: Gemini 3 Pro unranked · GPT-5.5 #2
Pick GPT-5.5 if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Reasoning
+53.9 difference
Multimodal
+12.0 difference
Gemini 3 Pro
GPT-5.5
$2 / $12
$5 / $30
109 t/s
N/A
32.65s
N/A
2M
1M
Pick GPT-5.5 if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
GPT-5.5 is clearly ahead on the provisional aggregate, 89 to 83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in reasoning, where it averages 85 against 31.1. The single biggest benchmark swing on the page is ARC-AGI-2, 31.1% to 85%. Gemini 3 Pro does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3 Pro. That is roughly 2.5x on output cost alone. GPT-5.5 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 gives you the larger context window at 2M, compared with 1M for GPT-5.5.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 89 to 83. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 31.1% and 85%.
GPT-5.5 has the edge for reasoning in this comparison, averaging 85 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 versus 69. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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