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
59
DeepSeek V4 Pro
71
Verified leaderboard positions: DeepSeek V4 Flash #23 · DeepSeek V4 Pro #22
DeepSeek V4 Flash makes more sense if you want the cheaper token bill, while DeepSeek V4 Pro is the cleaner fit if agentic is the priority.
Agentic
+10.0 difference
Coding
+1.7 difference
Knowledge
+4.2 difference
DeepSeek V4 Flash
DeepSeek V4 Pro
$0.14 / $0.28
$1.74 / $3.48
N/A
N/A
N/A
N/A
1M
1M
DeepSeek V4 Flash makes more sense if you want the cheaper token bill, while DeepSeek V4 Pro is the cleaner fit if agentic is the priority.
DeepSeek V4 Flash and DeepSeek V4 Pro 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 is clearly ahead on the provisional aggregate, 71 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in agentic, where it averages 59.1 against 49.1. The single biggest benchmark swing on the page is SimpleQA, 23.1% to 45%.
DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 12.4x on output cost alone.
DeepSeek V4 Flash and DeepSeek V4 Pro 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 is ahead on BenchLM's provisional leaderboard 71 to 59.
DeepSeek V4 Pro has the edge for knowledge tasks in this comparison, averaging 49.4 versus 45.2. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for coding in this comparison, averaging 58.8 versus 57.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 49.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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