Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
83
GPT-5.4
93
Verified leaderboard positions: Gemini 3 Pro unranked · GPT-5.4 #4
Pick GPT-5.4 if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Multimodal
+0.2 difference
Gemini 3 Pro
GPT-5.4
$null / $null
$2.5 / $15
109 t/s
74 t/s
32.65s
151.79s
2M
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 is clearly ahead on the provisional aggregate, 93 to 83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in multimodal & grounded, where it averages 81.2 against 81. The single biggest benchmark swing on the page is MMMU-Pro, 81% to 81.2%.
GPT-5.4 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.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 93 to 83. The biggest single separator in this matchup is MMMU-Pro, where the scores are 81% and 81.2%.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 81.2 versus 81. Inside this category, ScreenSpot Pro is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.