Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mellum2-12B-A2.5B-Instruct
26
Ornith-1.0-9B
52
Pick Ornith-1.0-9B 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
+32.2 difference
Mellum2-12B-A2.5B-Instruct
Ornith-1.0-9B
N/A
$0 / $0
N/A
N/A
N/A
N/A
128K
262K
Pick Ornith-1.0-9B 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.
Ornith-1.0-9B is clearly ahead on the provisional aggregate, 52 to 26. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ornith-1.0-9B's sharpest advantage is in coding, where it averages 69.4 against 37.2.
Ornith-1.0-9B 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. Ornith-1.0-9B gives you the larger context window at 262K, compared with 128K for Mellum2-12B-A2.5B-Instruct.
Ornith-1.0-9B is ahead on BenchLM's provisional leaderboard, 52 to 26.
Ornith-1.0-9B has the edge for coding in this comparison, averaging 69.4 versus 37.2. 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.