Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3.2
57
MiniMax M3
76
Verified leaderboard positions: DeepSeek V3.2 unranked · MiniMax M3 #12
Pick MiniMax M3 if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill.
Coding
+6.1 difference
DeepSeek V3.2
MiniMax M3
$0.28 / $0.42
$0.3 / $1.2
35 t/s
N/A
3.75s
N/A
128K
1M
Pick MiniMax M3 if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill.
MiniMax M3 is clearly ahead on the provisional aggregate, 76 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M3's sharpest advantage is in coding, where it averages 67 against 60.9.
MiniMax M3 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.28 input / $0.42 output per 1M tokens for DeepSeek V3.2. That is roughly 2.9x on output cost alone. MiniMax M3 gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 76 to 57.
MiniMax M3 has the edge for coding in this comparison, averaging 67 versus 60.9. DeepSeek V3.2 stays close enough that the answer can still flip depending on your workload.
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