Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
MiniMax M3
76
Verified leaderboard positions: DeepSeek V4 Pro (High) #10 · MiniMax M3 #12
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+1.9 difference
Coding
+6.8 difference
DeepSeek V4 Pro (High)
MiniMax M3
$1.74 / $3.48
$0.3 / $1.2
N/A
N/A
N/A
N/A
1M
1M
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if agentic is the priority or you want the cheaper token bill.
DeepSeek V4 Pro (High) is clearly ahead on the provisional aggregate, 83 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (High)'s sharpest advantage is in coding, where it averages 73.8 against 67. The single biggest benchmark swing on the page is SWE-bench Pro, 54.4% to 59%. MiniMax M3 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Pro (High) is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 2.9x on output cost alone. DeepSeek V4 Pro (High) is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
DeepSeek V4 Pro (High) is ahead on BenchLM's provisional leaderboard, 83 to 76. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 54.4% and 59%.
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 73.8 versus 67. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 71.9 versus 70. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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