Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E2B
23
Mellum2-12B-A2.5B-Instruct
27
Pick Mellum2-12B-A2.5B-Instruct if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Knowledge
+13.2 difference
Gemma 4 E2B
Mellum2-12B-A2.5B-Instruct
$0 / $0
N/A
N/A
N/A
N/A
N/A
128K
128K
Pick Mellum2-12B-A2.5B-Instruct if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Mellum2-12B-A2.5B-Instruct is clearly ahead on the provisional aggregate, 27 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 E2B 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.
Mellum2-12B-A2.5B-Instruct is ahead on BenchLM's provisional leaderboard, 27 to 23. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 40.9%.
Gemma 4 E2B has the edge for knowledge tasks in this comparison, averaging 54.1 versus 40.9. Inside this category, GPQA 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.