Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro (Max)
87
MiMo-V2-Omni
83
Verified leaderboard positions: DeepSeek V4 Pro (Max) #2 · MiMo-V2-Omni unranked
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. MiMo-V2-Omni only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+1.1 difference
DeepSeek V4 Pro (Max)
MiMo-V2-Omni
$1.74 / $3.48
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick DeepSeek V4 Pro (Max) if you want the stronger benchmark profile. MiMo-V2-Omni only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
DeepSeek V4 Pro (Max) is clearly ahead on the provisional aggregate, 87 to 83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (Max)'s sharpest advantage is in coding, where it averages 75.9 against 74.8. The single biggest benchmark swing on the page is SWE-bench Verified, 80.6% to 74.8%.
DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 262K for MiMo-V2-Omni.
DeepSeek V4 Pro (Max) is ahead on BenchLM's provisional leaderboard, 87 to 83. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80.6% and 74.8%.
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 75.9 versus 74.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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