Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
64
Qwen 3.6 Max (preview)
78
Pick Qwen 3.6 Max (preview) 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
+12.5 difference
Knowledge
+12.6 difference
Gemma 4 31B
Qwen 3.6 Max (preview)
$0 / $0
N/A
N/A
N/A
N/A
N/A
256K
256K
Pick Qwen 3.6 Max (preview) 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.
Qwen 3.6 Max (preview) is clearly ahead on the provisional aggregate, 78 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen 3.6 Max (preview)'s sharpest advantage is in knowledge, where it averages 73.9 against 61.3.
Qwen 3.6 Max (preview) is ahead on BenchLM's provisional leaderboard, 78 to 64.
Qwen 3.6 Max (preview) has the edge for knowledge tasks in this comparison, averaging 73.9 versus 61.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Qwen 3.6 Max (preview) has the edge for coding in this comparison, averaging 54.1 versus 41.6. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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