Head-to-head comparison across 7benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
80
Qwen3.5 397B
66
Verified leaderboard positions: Claude Opus 4.5 #7 · Qwen3.5 397B #11
Pick Claude Opus 4.5 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if instruction following is the priority.
Agentic
+6.3 difference
Coding
+5.6 difference
Reasoning
+1.2 difference
Knowledge
+1.0 difference
Multilingual
+1.0 difference
Multimodal
+8.4 difference
Inst. Following
+13.2 difference
Claude Opus 4.5
Qwen3.5 397B
$null / $null
$0 / $0
46 t/s
96 t/s
1.01s
2.44s
200K
128K
Pick Claude Opus 4.5 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if instruction following is the priority.
Claude Opus 4.5 is clearly ahead on the provisional aggregate, 80 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.5's sharpest advantage is in agentic, where it averages 62.5 against 56.2. The single biggest benchmark swing on the page is MMMU-Pro, 70.6% to 79%. Qwen3.5 397B does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.5 gives you the larger context window at 200K, compared with 128K for Qwen3.5 397B.
Claude Opus 4.5 is ahead on BenchLM's provisional leaderboard, 80 to 66. The biggest single separator in this matchup is MMMU-Pro, where the scores are 70.6% and 79%.
Claude Opus 4.5 has the edge for knowledge tasks in this comparison, averaging 66.2 versus 65.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for coding in this comparison, averaging 65.9 versus 60.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for reasoning in this comparison, averaging 64.4 versus 63.2. Inside this category, AI-Needle is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for agentic tasks in this comparison, averaging 62.5 versus 56.2. Inside this category, VITA-Bench is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for multimodal and grounded tasks in this comparison, averaging 79 versus 70.6. Inside this category, V* is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for instruction following in this comparison, averaging 92.6 versus 79.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for multilingual tasks in this comparison, averaging 85.7 versus 84.7. Inside this category, NOVA-63 is the benchmark that creates the most daylight between them.
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