Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 12B
53
Qwen3.7 Max
91
Verified leaderboard positions: Gemma 4 12B unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if knowledge is the priority.
Coding
+1.6 difference
Reasoning
+47.0 difference
Knowledge
+6.6 difference
Gemma 4 12B
Qwen3.7 Max
N/A
$null / $null
N/A
N/A
N/A
N/A
256K
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if knowledge is the priority.
Qwen3.7 Max 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.
Qwen3.7 Max's sharpest advantage is in reasoning, where it averages 90.4 against 43.4. The single biggest benchmark swing on the page is MRCRv2, 43.4% to 90.4%. Gemma 4 12B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max gives you the larger context window at 1M, compared with 256K for Gemma 4 12B.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 91 to 53. The biggest single separator in this matchup is MRCRv2, where the scores are 43.4% and 90.4%.
Gemma 4 12B has the edge for knowledge tasks in this comparison, averaging 77.8 versus 71.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for coding in this comparison, averaging 73.6 versus 72. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 43.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
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