Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E4B
36
o1-pro
29
Pick Gemma 4 E4B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
Knowledge
+13.4 difference
Gemma 4 E4B
o1-pro
$0 / $0
$150 / $600
N/A
N/A
N/A
N/A
128K
200K
Pick Gemma 4 E4B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
Gemma 4 E4B is clearly ahead on the provisional aggregate, 36 to 29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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 E4B. That is roughly Infinityx on output cost alone. o1-pro gives you the larger context window at 200K, compared with 128K for Gemma 4 E4B.
Gemma 4 E4B is ahead on BenchLM's provisional leaderboard, 36 to 29. The biggest single separator in this matchup is GPQA, where the scores are 58.6% and 79%.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 65.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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