Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 nano
26
Mellum2-12B-A2.5B-Instruct
27
Pick Mellum2-12B-A2.5B-Instruct if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Knowledge
+9.4 difference
Inst. Following
+7.4 difference
GPT-4.1 nano
Mellum2-12B-A2.5B-Instruct
$0.1 / $0.4
N/A
181 t/s
N/A
0.63s
N/A
1M
128K
Pick Mellum2-12B-A2.5B-Instruct if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Mellum2-12B-A2.5B-Instruct finishes one point ahead on BenchLM's provisional leaderboard, 27 to 26. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-4.1 nano gives you the larger context window at 1M, compared with 128K for Mellum2-12B-A2.5B-Instruct.
Mellum2-12B-A2.5B-Instruct is ahead on BenchLM's provisional leaderboard, 27 to 26. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 40.9%.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 50.3 versus 40.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 75.8. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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