Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Sibling matchup inside the DeepSeek V4 family.
DeepSeek V4 Flash Base
31
DeepSeek V4 Pro Base
43
DeepSeek V4 Flash Base makes more sense if multilingual is the priority, while DeepSeek V4 Pro Base is the cleaner fit if knowledge is the priority.
Reasoning
+6.8 difference
Knowledge
+11.2 difference
Multilingual
+1.3 difference
DeepSeek V4 Flash Base
DeepSeek V4 Pro Base
$null / $null
$null / $null
N/A
N/A
N/A
N/A
1M
1M
DeepSeek V4 Flash Base makes more sense if multilingual is the priority, while DeepSeek V4 Pro Base is the cleaner fit if knowledge is the priority.
DeepSeek V4 Flash Base and DeepSeek V4 Pro Base sit in the same DeepSeek V4 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
DeepSeek V4 Pro Base is clearly ahead on the provisional aggregate, 43 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro Base's sharpest advantage is in knowledge, where it averages 63.4 against 52.2. The single biggest benchmark swing on the page is SimpleQA, 30.1% to 55.2%. DeepSeek V4 Flash Base does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Flash Base and DeepSeek V4 Pro Base are sibling variants in the DeepSeek V4 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. DeepSeek V4 Pro Base is ahead on BenchLM's provisional leaderboard 43 to 31.
DeepSeek V4 Pro Base has the edge for knowledge tasks in this comparison, averaging 63.4 versus 52.2. Inside this category, FACTS Parametric is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro Base has the edge for reasoning in this comparison, averaging 51.5 versus 44.7. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash Base has the edge for multilingual tasks in this comparison, averaging 85.7 versus 84.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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