Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 2.5 Pro
65
GPT-4.1 mini
46
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+40.2 difference
Knowledge
+23.4 difference
Gemini 2.5 Pro
GPT-4.1 mini
$1.25 / $10
$0.4 / $1.6
117 t/s
80 t/s
21.19s
0.76s
1M
1M
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. GPT-4.1 mini 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 46. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro's sharpest advantage is in coding, where it averages 63.8 against 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 63.8% to 23.6%. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 6.3x on output cost alone.
Gemini 2.5 Pro is ahead on BenchLM's provisional leaderboard, 65 to 46. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 23.6%.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 versus 40.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 63.8 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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