Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
65
Qwen3.7 Max
93
Verified leaderboard positions: Gemma 4 31B unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max 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
+32.0 difference
Knowledge
+9.9 difference
Gemma 4 31B
Qwen3.7 Max
$0 / $0
$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 31B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 65. 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 coding, where it averages 73.6 against 41.6. The single biggest benchmark swing on the page is HLE, 26.5% to 41.4%.
Qwen3.7 Max gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 65. The biggest single separator in this matchup is HLE, where the scores are 26.5% and 41.4%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 61.3. Inside this category, HLE 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 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Estimates at 50,000 req/day · 1000 tokens/req average.
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