Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
80
Qwen3.7 Max
93
Verified leaderboard positions: GPT-5.2 unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority.
Agentic
+14.5 difference
Coding
+8.9 difference
Reasoning
+37.5 difference
Knowledge
+21.2 difference
GPT-5.2
Qwen3.7 Max
$1.75 / $14
$null / $null
73 t/s
N/A
130.34s
N/A
400K
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 80. 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 52.9. The single biggest benchmark swing on the page is SWE-bench Pro, 55.6% to 60.6%. GPT-5.2 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 400K for GPT-5.2.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 80. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 55.6% and 60.6%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 71.2. Qwen3.7 Max stays close enough that the answer can still flip depending on your workload.
Qwen3.7 Max has the edge for coding in this comparison, averaging 73.6 versus 64.7. Inside this category, SWE-bench Pro 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 52.9. GPT-5.2 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 55.2. GPT-5.2 stays close enough that the answer can still flip depending on your workload.
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