Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
77
o3-mini
56
Verified leaderboard positions: DeepSeek V4 Flash (Max) #12 · o3-mini unranked
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority.
Coding
+24.4 difference
Knowledge
+17.2 difference
DeepSeek V4 Flash (Max)
o3-mini
$0.14 / $0.28
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
1M
200K
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority.
DeepSeek V4 Flash (Max) is clearly ahead on the provisional aggregate, 77 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash (Max)'s sharpest advantage is in coding, where it averages 73.7 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 79% to 49.3%. o3-mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). That is roughly 15.7x on output cost alone. DeepSeek V4 Flash (Max) gives you the larger context window at 1M, compared with 200K for o3-mini.
DeepSeek V4 Flash (Max) is ahead on BenchLM's provisional leaderboard, 77 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 79% and 49.3%.
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 60. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash (Max) has the edge for coding in this comparison, averaging 73.7 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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