Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Exaone 4.0 32B
63
Mellum2-12B-A2.5B-Instruct
27
Pick Exaone 4.0 32B 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.
Knowledge
+40.9 difference
Exaone 4.0 32B
Mellum2-12B-A2.5B-Instruct
N/A
N/A
N/A
N/A
N/A
N/A
128K
128K
Pick Exaone 4.0 32B 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.
Exaone 4.0 32B is clearly ahead on the provisional aggregate, 63 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Exaone 4.0 32B's sharpest advantage is in knowledge, where it averages 81.8 against 40.9.
Exaone 4.0 32B 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.
Exaone 4.0 32B is ahead on BenchLM's provisional leaderboard, 63 to 27.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 40.9. Mellum2-12B-A2.5B-Instruct stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.