Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
93
Qwen3 235B 2507
35
Verified leaderboard positions: Claude Opus 4.7 #2 · Qwen3 235B 2507 unranked
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+8.0 difference
Claude Opus 4.7
Qwen3 235B 2507
$5 / $25
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Claude Opus 4.7 is clearly ahead on the provisional aggregate, 93 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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 235B 2507. 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 235B 2507.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 93 to 35. The biggest single separator in this matchup is GPQA, where the scores are 94.2% and 77.5%.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 68.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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