Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E2B
23
o1-pro
29
Pick o1-pro if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
Knowledge
+24.9 difference
Gemma 4 E2B
o1-pro
$0 / $0
$150 / $600
N/A
N/A
N/A
N/A
128K
200K
Pick o1-pro if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
o1-pro is clearly ahead on the provisional aggregate, 29 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro's sharpest advantage is in knowledge, where it averages 79 against 54.1. The single biggest benchmark swing on the page is GPQA, 43.4% to 79%.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. That is roughly Infinityx on output cost alone. o1-pro gives you the larger context window at 200K, compared with 128K for Gemma 4 E2B.
o1-pro is ahead on BenchLM's provisional leaderboard, 29 to 23. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 79%.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 54.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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