Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
77
o1
58
Verified leaderboard positions: DeepSeek V4 Flash (Max) #12 · o1 unranked
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority.
Knowledge
+15.7 difference
DeepSeek V4 Flash (Max)
o1
$0.14 / $0.28
$15 / $60
N/A
98 t/s
N/A
32.29s
1M
200K
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority.
DeepSeek V4 Flash (Max) is clearly ahead on the provisional aggregate, 77 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). That is roughly 214.3x on output cost alone. DeepSeek V4 Flash (Max) gives you the larger context window at 1M, compared with 200K for o1.
DeepSeek V4 Flash (Max) is ahead on BenchLM's provisional leaderboard, 77 to 58. The biggest single separator in this matchup is GPQA, where the scores are 88.1% and 75.7%.
o1 has the edge for knowledge tasks in this comparison, averaging 75.7 versus 60. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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