Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E4B
36
o3-mini
56
Pick o3-mini if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if you want the cheaper token bill.
Knowledge
+11.6 difference
Gemma 4 E4B
o3-mini
$0 / $0
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
128K
200K
Pick o3-mini if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if you want the cheaper token bill.
o3-mini is clearly ahead on the provisional aggregate, 56 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in knowledge, where it averages 77.2 against 65.6. The single biggest benchmark swing on the page is GPQA, 58.6% to 77.2%.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 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. o3-mini gives you the larger context window at 200K, compared with 128K for Gemma 4 E4B.
o3-mini is ahead on BenchLM's provisional leaderboard, 56 to 36. The biggest single separator in this matchup is GPQA, where the scores are 58.6% and 77.2%.
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 65.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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