Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (High)
83
MiMo-V2-Pro
84
Verified leaderboard positions: DeepSeek V4 Pro (High) #11 · MiMo-V2-Pro unranked
Pick MiMo-V2-Pro if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+4.2 difference
DeepSeek V4 Pro (High)
MiMo-V2-Pro
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
1M
Pick MiMo-V2-Pro if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MiMo-V2-Pro finishes one point ahead on BenchLM's provisional leaderboard, 84 to 83. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
MiMo-V2-Pro's sharpest advantage is in coding, where it averages 78 against 73.8. The single biggest benchmark swing on the page is SWE-bench Verified, 79.4% to 78%.
MiMo-V2-Pro is ahead on BenchLM's provisional leaderboard, 84 to 83. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 79.4% and 78%.
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 73.8. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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