Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
85
Qwen3 235B 2507
35
Pick Claude Sonnet 4.6 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
+2.5 difference
Claude Sonnet 4.6
Qwen3 235B 2507
$3 / $15
$0 / $0
44 t/s
N/A
1.48s
N/A
200K
128K
Pick Claude Sonnet 4.6 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 Sonnet 4.6 is clearly ahead on the provisional aggregate, 85 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 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 Sonnet 4.6 gives you the larger context window at 200K, compared with 128K for Qwen3 235B 2507.
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 85 to 35. The biggest single separator in this matchup is SuperGPQA, where the scores are 95% and 62.6%.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 73.7. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
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