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-Thinking
59
Pick Mellum2-12B-A2.5B-Thinking if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if instruction following is the priority or you need the larger 1M context window.
Coding
+46.3 difference
Knowledge
+6.6 difference
Inst. Following
+12.0 difference
GPT-4.1 mini
Mellum2-12B-A2.5B-Thinking
$0.4 / $1.6
N/A
80 t/s
N/A
0.76s
N/A
1M
128K
Pick Mellum2-12B-A2.5B-Thinking if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if instruction following is the priority or you need the larger 1M context window.
Mellum2-12B-A2.5B-Thinking is clearly ahead on the provisional aggregate, 59 to 45. 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 23.6. The single biggest benchmark swing on the page is IFEval, 88.5% to 76.5%. GPT-4.1 mini does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Mellum2-12B-A2.5B-Thinking is the reasoning model in the pair, while GPT-4.1 mini 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. GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Thinking.
Mellum2-12B-A2.5B-Thinking is ahead on BenchLM's provisional leaderboard, 59 to 45. The biggest single separator in this matchup is IFEval, where the scores are 88.5% and 76.5%.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 versus 57.6. 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 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 76.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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