Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
81
GPT-5.4 Pro
91
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you want the cheaper token bill or you need the larger 2M context window.
Reasoning
+52.2 difference
Multimodal
+12.9 difference
Gemini 3 Pro
GPT-5.4 Pro
$2 / $12
$30 / $180
109 t/s
74 t/s
32.65s
151.79s
2M
1.05M
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you want the cheaper token bill or you need the larger 2M context window.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 81. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in reasoning, where it averages 83.3 against 31.1. The single biggest benchmark swing on the page is ARC-AGI-2, 31.1% to 83.3%.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3 Pro. That is roughly 15.0x on output cost alone. GPT-5.4 Pro 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 1.05M for GPT-5.4 Pro.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 81. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 31.1% and 83.3%.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 83.3 versus 31.1. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 81.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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