Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mellum2-12B-A2.5B-Instruct
27
Muse Spark
81
Pick Muse Spark 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
+24.5 difference
Knowledge
+9.5 difference
Mellum2-12B-A2.5B-Instruct
Muse Spark
N/A
N/A
N/A
N/A
N/A
N/A
128K
262K
Pick Muse Spark 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.
Muse Spark is clearly ahead on the provisional aggregate, 81 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark's sharpest advantage is in coding, where it averages 61.7 against 37.2.
Muse Spark 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. Muse Spark gives you the larger context window at 262K, compared with 128K for Mellum2-12B-A2.5B-Instruct.
Muse Spark is ahead on BenchLM's provisional leaderboard, 81 to 27.
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 40.9. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.
Muse Spark has the edge for coding in this comparison, averaging 61.7 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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