Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 12B
53
GPT-5.5
91
Verified leaderboard positions: Gemma 4 12B unranked · GPT-5.5 #6
Pick GPT-5.5 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if coding is the priority.
Coding
+13.4 difference
Reasoning
+41.6 difference
Knowledge
+11.4 difference
Multimodal
+1.3 difference
Gemma 4 12B
GPT-5.5
N/A
$5 / $30
N/A
N/A
N/A
N/A
256K
1M
Pick GPT-5.5 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if coding is the priority.
GPT-5.5 is clearly ahead on the provisional aggregate, 91 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in reasoning, where it averages 85 against 43.4. The single biggest benchmark swing on the page is GPQA, 78.8% to 93.6%. Gemma 4 12B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 gives you the larger context window at 1M, compared with 256K for Gemma 4 12B.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 91 to 53. The biggest single separator in this matchup is GPQA, where the scores are 78.8% and 93.6%.
Gemma 4 12B has the edge for knowledge tasks in this comparison, averaging 77.8 versus 66.4. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Gemma 4 12B has the edge for coding in this comparison, averaging 72 versus 58.6. GPT-5.5 stays close enough that the answer can still flip depending on your workload.
GPT-5.5 has the edge for reasoning in this comparison, averaging 85 versus 43.4. Gemma 4 12B stays close enough that the answer can still flip depending on your workload.
GPT-5.5 has the edge for multimodal and grounded tasks in this comparison, averaging 70.4 versus 69.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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