Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2-Pro
84
MiniMax M2.7
53
Pick MiMo-V2-Pro if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+24.3 difference
MiMo-V2-Pro
MiniMax M2.7
N/A
$0.3 / $1.2
N/A
45 t/s
N/A
2.53s
1M
200K
Pick MiMo-V2-Pro if you want the stronger benchmark profile. MiniMax M2.7 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, 84 to 53. 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 53.7.
MiMo-V2-Pro is the reasoning model in the pair, while MiniMax M2.7 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 gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
MiMo-V2-Pro is ahead on BenchLM's provisional leaderboard, 84 to 53.
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 53.7. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.