Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
71
MiniMax M2.7
63
Verified leaderboard positions: DeepSeek V4 Pro #22 · MiniMax M2.7 unranked
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill.
Agentic
+2.1 difference
Coding
+5.1 difference
DeepSeek V4 Pro
MiniMax M2.7
$1.74 / $3.48
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
1M
200K
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you want the cheaper token bill.
DeepSeek V4 Pro is clearly ahead on the provisional aggregate, 71 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in coding, where it averages 58.8 against 53.7. The single biggest benchmark swing on the page is SWE-bench Pro, 52.1% to 56.2%.
DeepSeek V4 Pro 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 M2.7. That is roughly 2.9x on output cost alone. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 71 to 63. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 52.1% and 56.2%.
DeepSeek V4 Pro has the edge for coding in this comparison, averaging 58.8 versus 53.7. Inside this category, SWE Multilingual is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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