Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
65
Qwen3.6 Plus
73
Verified leaderboard positions: Gemma 4 31B unranked · Qwen3.6 Plus #12
Pick Qwen3.6 Plus if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+23.2 difference
Knowledge
+4.7 difference
Multimodal
+2.7 difference
Gemma 4 31B
Qwen3.6 Plus
$0 / $0
$null / $null
N/A
N/A
N/A
N/A
256K
1M
Pick Qwen3.6 Plus if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.6 Plus is clearly ahead on the provisional aggregate, 73 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6 Plus's sharpest advantage is in coding, where it averages 64.8 against 41.6. The single biggest benchmark swing on the page is GPQA, 84.3% to 90.4%.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
Qwen3.6 Plus is ahead on BenchLM's provisional leaderboard, 73 to 65. The biggest single separator in this matchup is GPQA, where the scores are 84.3% and 90.4%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 versus 61.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for coding in this comparison, averaging 64.8 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 76.9. 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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