Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 2.5 Pro
65
GPT-5.4 mini
71
Pick GPT-5.4 mini if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+16.6 difference
Gemini 2.5 Pro
GPT-5.4 mini
$1.25 / $10
$0.75 / $4.5
117 t/s
201 t/s
21.19s
3.85s
1M
400K
Pick GPT-5.4 mini if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 mini is clearly ahead on the provisional aggregate, 71 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in knowledge, where it averages 57.4 against 40.8. The single biggest benchmark swing on the page is HLE, 18.8% to 41.5%.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.75 input / $4.50 output per 1M tokens for GPT-5.4 mini. That is roughly 2.2x on output cost alone. GPT-5.4 mini is the reasoning model in the pair, while Gemini 2.5 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 2.5 Pro gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 71 to 65. The biggest single separator in this matchup is HLE, where the scores are 18.8% and 41.5%.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 40.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
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