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 nano
60
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+12.4 difference
Gemini 2.5 Pro
GPT-5.4 nano
$1.25 / $10
$0.2 / $1.25
117 t/s
191 t/s
21.19s
3.64s
1M
400K
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Gemini 2.5 Pro is clearly ahead on the provisional aggregate, 65 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.20 input / $1.25 output per 1M tokens for GPT-5.4 nano. That is roughly 8.0x on output cost alone. GPT-5.4 nano 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 nano.
Gemini 2.5 Pro is ahead on BenchLM's provisional leaderboard, 65 to 60. The biggest single separator in this matchup is HLE, where the scores are 18.8% and 37.7%.
GPT-5.4 nano has the edge for knowledge tasks in this comparison, averaging 53.2 versus 40.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
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