Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mellum2-12B-A2.5B-Instruct
27
MiMo-V2.5-Pro
86
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Instruct only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+20.0 difference
Knowledge
+7.1 difference
Mellum2-12B-A2.5B-Instruct
MiMo-V2.5-Pro
N/A
$null / $null
N/A
N/A
N/A
N/A
128K
1M
Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Instruct only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 86 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2.5-Pro's sharpest advantage is in coding, where it averages 57.2 against 37.2.
MiMo-V2.5-Pro is the reasoning model in the pair, while Mellum2-12B-A2.5B-Instruct 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-V2.5-Pro gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Instruct.
MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 86 to 27.
MiMo-V2.5-Pro has the edge for knowledge tasks in this comparison, averaging 48 versus 40.9. Mellum2-12B-A2.5B-Instruct stays close enough that the answer can still flip depending on your workload.
MiMo-V2.5-Pro has the edge for coding in this comparison, averaging 57.2 versus 37.2. Mellum2-12B-A2.5B-Instruct stays close enough that the answer can still flip depending on your workload.
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