Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 5
94
DeepSeek V4 Flash Base
31
Pick Claude Sonnet 5 if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+5.2 difference
Claude Sonnet 5
DeepSeek V4 Flash Base
$3 / $15
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick Claude Sonnet 5 if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Claude Sonnet 5 is clearly ahead on the provisional aggregate, 94 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5's sharpest advantage is in knowledge, where it averages 57.4 against 52.2.
Claude Sonnet 5 is the reasoning model in the pair, while DeepSeek V4 Flash Base 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 is ahead on BenchLM's provisional leaderboard, 94 to 31.
Claude Sonnet 5 has the edge for knowledge tasks in this comparison, averaging 57.4 versus 52.2. DeepSeek V4 Flash Base stays close enough that the answer can still flip depending on your workload.
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