Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Laguna XS.2
37
Mellum2-12B-A2.5B-Instruct
27
Pick Laguna XS.2 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
+17.9 difference
Laguna XS.2
Mellum2-12B-A2.5B-Instruct
$0 / $0
N/A
N/A
N/A
N/A
N/A
131K
128K
Pick Laguna XS.2 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.
Laguna XS.2 is clearly ahead on the provisional aggregate, 37 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Laguna XS.2's sharpest advantage is in coding, where it averages 55.1 against 37.2.
Laguna XS.2 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. Laguna XS.2 gives you the larger context window at 131K, compared with 128K for Mellum2-12B-A2.5B-Instruct.
Laguna XS.2 is ahead on BenchLM's provisional leaderboard, 37 to 27.
Laguna XS.2 has the edge for coding in this comparison, averaging 55.1 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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