Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
66
Qwen3.6-27B
72
Verified leaderboard positions: Gemma 4 31B unranked · Qwen3.6-27B #10
Pick Qwen3.6-27B if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if multimodal & grounded is the priority.
Coding
+29.0 difference
Knowledge
+0.9 difference
Multimodal
+1.1 difference
Gemma 4 31B
Qwen3.6-27B
$0 / $0
$0 / $0
N/A
N/A
N/A
N/A
256K
262K
Pick Qwen3.6-27B if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if multimodal & grounded is the priority.
Qwen3.6-27B is clearly ahead on the provisional aggregate, 72 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6-27B's sharpest advantage is in coding, where it averages 70.6 against 41.6. The single biggest benchmark swing on the page is GPQA, 84.3% to 87.8%. Gemma 4 31B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Qwen3.6-27B gives you the larger context window at 262K, compared with 256K for Gemma 4 31B.
Qwen3.6-27B is ahead on BenchLM's provisional leaderboard, 72 to 66. The biggest single separator in this matchup is GPQA, where the scores are 84.3% and 87.8%.
Qwen3.6-27B has the edge for knowledge tasks in this comparison, averaging 62.2 versus 61.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.6-27B has the edge for coding in this comparison, averaging 70.6 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Gemma 4 31B has the edge for multimodal and grounded tasks in this comparison, averaging 76.9 versus 75.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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