Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
85
DeepSeek V3.2
60
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill.
Coding
+5.5 difference
Claude Sonnet 4.6
DeepSeek V3.2
$3 / $15
$0 / $0
44 t/s
35 t/s
1.48s
3.75s
200K
128K
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill.
Claude Sonnet 4.6 is clearly ahead on the provisional aggregate, 85 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in coding, where it averages 66.4 against 60.9. The single biggest benchmark swing on the page is SWE-Rebench, 60.7% to 60.9%.
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 DeepSeek V3.2. That is roughly Infinityx on output cost alone. Claude Sonnet 4.6 gives you the larger context window at 200K, compared with 128K for DeepSeek V3.2.
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 85 to 60. The biggest single separator in this matchup is SWE-Rebench, where the scores are 60.7% and 60.9%.
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 66.4 versus 60.9. Inside this category, SWE-Rebench is the benchmark that creates the most daylight between them.
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