Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.8
93
Qwen3.7 Max
92
Verified leaderboard positions: Claude Opus 4.8 #3 · Qwen3.7 Max #2
Pick Claude Opus 4.8 if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if knowledge is the priority.
Agentic
+10.4 difference
Coding
+2.8 difference
Knowledge
+1.1 difference
Claude Opus 4.8
Qwen3.7 Max
$5 / $25
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick Claude Opus 4.8 if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if knowledge is the priority.
Claude Opus 4.8 finishes one point ahead on BenchLM's provisional leaderboard, 93 to 92. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Claude Opus 4.8's sharpest advantage is in agentic, where it averages 80.1 against 69.7. The single biggest benchmark swing on the page is HLE, 57.9% to 41.4%. Qwen3.7 Max does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 93 to 92. The biggest single separator in this matchup is HLE, where the scores are 57.9% and 41.4%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 70.1. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 73.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.1 versus 69.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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