Head-to-head comparison across 6benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Qwen3.5-27B
62
Qwen3.7 Max
93
Verified leaderboard positions: Qwen3.5-27B #18 · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if knowledge is the priority.
Agentic
+18.1 difference
Coding
+10.6 difference
Reasoning
+29.8 difference
Knowledge
+9.4 difference
Multilingual
+4.8 difference
Inst. Following
+6.0 difference
Qwen3.5-27B
Qwen3.7 Max
$0 / $0
$null / $null
N/A
N/A
N/A
N/A
262K
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3.5-27B only becomes the better choice if knowledge is the priority.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 62. 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 reasoning, where it averages 90.4 against 60.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 41.6% to 69.7%. Qwen3.5-27B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max gives you the larger context window at 1M, compared with 262K for Qwen3.5-27B.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 41.6% and 69.7%.
Qwen3.5-27B has the edge for knowledge tasks in this comparison, averaging 80.6 versus 71.2. Inside this category, SuperGPQA 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 63. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 60.6. Qwen3.5-27B stays close enough that the answer can still flip depending on your workload.
Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 51.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.5-27B has the edge for instruction following in this comparison, averaging 95 versus 89. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for multilingual tasks in this comparison, averaging 87 versus 82.2. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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