Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro Base
40
Gemini 3.5 Flash
88
Verified leaderboard positions: DeepSeek V4 Pro Base unranked · Gemini 3.5 Flash #7
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Reasoning
+23.2 difference
Knowledge
+5.4 difference
DeepSeek V4 Pro Base
Gemini 3.5 Flash
$null / $null
$1.5 / $9
N/A
284.2 t/s
N/A
18.55s
1M
1M
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3.5 Flash is clearly ahead on the provisional aggregate, 88 to 40. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.5 Flash's sharpest advantage is in reasoning, where it averages 74.7 against 51.5. DeepSeek V4 Pro Base does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemini 3.5 Flash is the reasoning model in the pair, while DeepSeek V4 Pro 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.
Gemini 3.5 Flash is ahead on BenchLM's provisional leaderboard, 88 to 40.
DeepSeek V4 Pro Base has the edge for knowledge tasks in this comparison, averaging 63.4 versus 58. Gemini 3.5 Flash stays close enough that the answer can still flip depending on your workload.
Gemini 3.5 Flash has the edge for reasoning in this comparison, averaging 74.7 versus 51.5. DeepSeek V4 Pro Base stays close enough that the answer can still flip depending on your workload.
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