Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
93
Qwen3.5 397B
66
Verified leaderboard positions: Claude Opus 4.7 #2 · Qwen3.5 397B #8
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if you want the cheaper token bill.
Agentic
+18.7 difference
Coding
+12.6 difference
Knowledge
+3.0 difference
Claude Opus 4.7
Qwen3.5 397B
$5 / $25
$0 / $0
N/A
96 t/s
N/A
2.44s
1M
128K
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.7 is clearly ahead on the provisional aggregate, 93 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7's sharpest advantage is in agentic, where it averages 74.9 against 56.2. The single biggest benchmark swing on the page is MCP Atlas, 77.3% to 46.1%.
Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5 397B. That is roughly Infinityx on output cost alone. Claude Opus 4.7 gives you the larger context window at 1M, compared with 128K for Qwen3.5 397B.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 93 to 66. The biggest single separator in this matchup is MCP Atlas, where the scores are 77.3% and 46.1%.
Claude Opus 4.7 has the edge for knowledge tasks in this comparison, averaging 68.2 versus 65.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for coding in this comparison, averaging 72.9 versus 60.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for agentic tasks in this comparison, averaging 74.9 versus 56.2. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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