Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Sibling matchup inside the Mellum2 12B-A2.5B family.
Mellum2-12B-A2.5B-Instruct
27
Mellum2-12B-A2.5B-Thinking
59
Mellum2-12B-A2.5B-Instruct makes more sense if you would rather avoid the extra latency and token burn of a reasoning model, while Mellum2-12B-A2.5B-Thinking is the cleaner fit if coding is the priority or you want the stronger reasoning-first profile.
Coding
+32.7 difference
Knowledge
+16.7 difference
Inst. Following
+0.7 difference
Mellum2-12B-A2.5B-Instruct
Mellum2-12B-A2.5B-Thinking
N/A
N/A
N/A
N/A
N/A
N/A
128K
128K
Mellum2-12B-A2.5B-Instruct makes more sense if you would rather avoid the extra latency and token burn of a reasoning model, while Mellum2-12B-A2.5B-Thinking is the cleaner fit if coding is the priority or you want the stronger reasoning-first profile.
Mellum2-12B-A2.5B-Instruct and Mellum2-12B-A2.5B-Thinking sit in the same Mellum2 12B-A2.5B family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
Mellum2-12B-A2.5B-Thinking is clearly ahead on the provisional aggregate, 59 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mellum2-12B-A2.5B-Thinking's sharpest advantage is in coding, where it averages 69.9 against 37.2. The single biggest benchmark swing on the page is LiveCodeBench, 37.2% to 69.9%.
Mellum2-12B-A2.5B-Thinking 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 and Mellum2-12B-A2.5B-Thinking are sibling variants in the Mellum2 12B-A2.5B family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. Mellum2-12B-A2.5B-Thinking is ahead on BenchLM's provisional leaderboard 59 to 27.
Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 40.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mellum2-12B-A2.5B-Thinking has the edge for coding in this comparison, averaging 69.9 versus 37.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Mellum2-12B-A2.5B-Thinking has the edge for instruction following in this comparison, averaging 76.5 versus 75.8. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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