Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
78
Qwen3.7 Max
84
Verified leaderboard positions: GPT-5.5 #6 · Qwen3.7 Max #4
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.5 only becomes the better choice if agentic is the priority.
Agentic
+11.8 difference
Coding
+15.0 difference
Reasoning
+5.4 difference
Knowledge
+4.8 difference
GPT-5.5
Qwen3.7 Max
$5 / $30
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.5 only becomes the better choice if agentic is the priority.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 84 to 78. 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 58.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82% to 69.7%. GPT-5.5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 84 to 78. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82% and 69.7%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 66.4. Inside this category, AA-Omniscience Hallucination Rate 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 58.6. Inside this category, AA Coding Index 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 85. Inside this category, CritPt is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.5 versus 69.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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