Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mellum2-12B-A2.5B-Instruct
26
Ornith-1.0-397B
96
Pick Ornith-1.0-397B 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
+45.2 difference
Mellum2-12B-A2.5B-Instruct
Ornith-1.0-397B
N/A
$0 / $0
N/A
N/A
N/A
N/A
128K
262K
Pick Ornith-1.0-397B 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-1.0-397B is clearly ahead on the provisional aggregate, 96 to 26. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ornith-1.0-397B's sharpest advantage is in coding, where it averages 82.4 against 37.2.
Ornith-1.0-397B 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-1.0-397B gives you the larger context window at 262K, compared with 128K for Mellum2-12B-A2.5B-Instruct.
Ornith-1.0-397B is ahead on BenchLM's provisional leaderboard, 96 to 26.
Ornith-1.0-397B has the edge for coding in this comparison, averaging 82.4 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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