Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Qwen3.6-35B-A3B
67
Qwen3.7 Max
93
Verified leaderboard positions: Qwen3.6-35B-A3B #22 · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+18.2 difference
Coding
+6.7 difference
Knowledge
+10.7 difference
Qwen3.6-35B-A3B
Qwen3.7 Max
N/A
$null / $null
N/A
N/A
N/A
N/A
262K
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3.6-35B-A3B 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 67. 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 agentic, where it averages 69.7 against 51.5. The single biggest benchmark swing on the page is HLE, 21.4% to 41.4%.
Qwen3.7 Max gives you the larger context window at 1M, compared with 262K for Qwen3.6-35B-A3B.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 67. The biggest single separator in this matchup is HLE, where the scores are 21.4% and 41.4%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 60.5. 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 66.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 51.5. Inside this category, QwenWebBench is the benchmark that creates the most daylight between them.
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