Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
87
Qwen3.7 Max
93
Verified leaderboard positions: Claude Opus 4.6 #5 · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+2.9 difference
Coding
+9.2 difference
Knowledge
+5.0 difference
Claude Opus 4.6
Qwen3.7 Max
$5 / $25
$null / $null
40 t/s
N/A
1.78s
N/A
1M
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 87. 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 64.4. The single biggest benchmark swing on the page is SuperGPQA, 95% to 73.6%. Claude Opus 4.6 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 87. The biggest single separator in this matchup is SuperGPQA, where the scores are 95% and 73.6%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 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 64.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 72.6 versus 69.7. Inside this category, Claw-Eval is the benchmark that creates the most daylight between them.
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