Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 12B
53
Qwen3.5-122B-A10B
64
Verified leaderboard positions: Gemma 4 12B unranked · Qwen3.5-122B-A10B #12
Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
Reasoning
+16.8 difference
Knowledge
+3.8 difference
Multimodal
+8.1 difference
Gemma 4 12B
Qwen3.5-122B-A10B
N/A
$0 / $0
N/A
N/A
N/A
N/A
256K
262K
Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.5-122B-A10B is clearly ahead on the provisional aggregate, 64 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5-122B-A10B's sharpest advantage is in reasoning, where it averages 60.2 against 43.4. The single biggest benchmark swing on the page is MMLU-Pro, 77.2% to 86.7%.
Qwen3.5-122B-A10B gives you the larger context window at 262K, compared with 256K for Gemma 4 12B.
Qwen3.5-122B-A10B is ahead on BenchLM's provisional leaderboard, 64 to 53. The biggest single separator in this matchup is MMLU-Pro, where the scores are 77.2% and 86.7%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 77.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Gemma 4 12B and Qwen3.5-122B-A10B are effectively tied for coding here, both landing at 72 on average.
Qwen3.5-122B-A10B has the edge for reasoning in this comparison, averaging 60.2 versus 43.4. Gemma 4 12B stays close enough that the answer can still flip depending on your workload.
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 69.1. Inside this category, MathVision is the benchmark that creates the most daylight between them.
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