Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3.2
58
DeepSeek V4 Flash
59
Verified leaderboard positions: DeepSeek V3.2 unranked · DeepSeek V4 Flash #23
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if coding is the priority.
Coding
+3.8 difference
DeepSeek V3.2
DeepSeek V4 Flash
$0.28 / $0.42
$0.14 / $0.28
35 t/s
N/A
3.75s
N/A
128K
1M
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if coding is the priority.
DeepSeek V4 Flash finishes one point ahead on BenchLM's provisional leaderboard, 59 to 58. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
DeepSeek V3.2 is also the more expensive model on tokens at $0.28 input / $0.42 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.
DeepSeek V4 Flash is ahead on BenchLM's provisional leaderboard, 59 to 58.
DeepSeek V3.2 has the edge for coding in this comparison, averaging 60.9 versus 57.1. DeepSeek V4 Flash stays close enough that the answer can still flip depending on your workload.
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