Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 nano
27
GPT-5.4 nano
60
Pick GPT-5.4 nano if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Knowledge
+2.9 difference
GPT-4.1 nano
GPT-5.4 nano
$0.1 / $0.4
$0.2 / $1.25
181 t/s
191 t/s
0.63s
3.64s
1M
400K
Pick GPT-5.4 nano if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-5.4 nano is clearly ahead on the provisional aggregate, 60 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 nano's sharpest advantage is in knowledge, where it averages 53.2 against 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 82.8%.
GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 3.1x on output cost alone. GPT-5.4 nano is the reasoning model in the pair, while GPT-4.1 nano 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. GPT-4.1 nano gives you the larger context window at 1M, compared with 400K for GPT-5.4 nano.
GPT-5.4 nano is ahead on BenchLM's provisional leaderboard, 60 to 27. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 82.8%.
GPT-5.4 nano has the edge for knowledge tasks in this comparison, averaging 53.2 versus 50.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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