Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
MiMo-V2-Pro
83
Verified leaderboard positions: DeepSeek V4 Flash #23 · MiMo-V2-Pro unranked
Pick MiMo-V2-Pro if you want the stronger benchmark profile. DeepSeek V4 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+20.9 difference
DeepSeek V4 Flash
MiMo-V2-Pro
$0.14 / $0.28
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 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2-Pro is clearly ahead on the provisional aggregate, 83 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Pro's sharpest advantage is in coding, where it averages 78 against 57.1. The single biggest benchmark swing on the page is SWE-bench Verified, 73.7% to 78%.
MiMo-V2-Pro is the reasoning model in the pair, while DeepSeek V4 Flash 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.
MiMo-V2-Pro is ahead on BenchLM's provisional leaderboard, 83 to 59. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 73.7% and 78%.
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 57.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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