Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 5
94
Qwen3 235B 2507
32
Pick Claude Sonnet 5 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
+18.8 difference
Claude Sonnet 5
Qwen3 235B 2507
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick Claude Sonnet 5 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 5 is clearly ahead on the provisional aggregate, 94 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5 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 5 is the reasoning model in the pair, while Qwen3 235B 2507 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Sonnet 5 gives you the larger context window at 1M, compared with 128K for Qwen3 235B 2507.
Claude Sonnet 5 is ahead on BenchLM's provisional leaderboard, 94 to 32.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 57.4. Claude Sonnet 5 stays close enough that the answer can still flip depending on your workload.
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