Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 mini
45
Mellum2-12B-A2.5B-Instruct
27
Pick GPT-4.1 mini if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Instruct only becomes the better choice if coding is the priority.
Coding
+13.6 difference
Knowledge
+23.3 difference
Inst. Following
+12.7 difference
GPT-4.1 mini
Mellum2-12B-A2.5B-Instruct
$0.4 / $1.6
N/A
80 t/s
N/A
0.76s
N/A
1M
128K
Pick GPT-4.1 mini if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Instruct only becomes the better choice if coding is the priority.
GPT-4.1 mini is clearly ahead on the provisional aggregate, 45 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1 mini's sharpest advantage is in knowledge, where it averages 64.2 against 40.9. The single biggest benchmark swing on the page is GPQA, 64.2% to 40.9%. Mellum2-12B-A2.5B-Instruct does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Instruct.
GPT-4.1 mini is ahead on BenchLM's provisional leaderboard, 45 to 27. The biggest single separator in this matchup is GPQA, where the scores are 64.2% and 40.9%.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 versus 40.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mellum2-12B-A2.5B-Instruct has the edge for coding in this comparison, averaging 37.2 versus 23.6. GPT-4.1 mini stays close enough that the answer can still flip depending on your workload.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 75.8. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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