Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MAI-Thinking-1
65
Mellum2-12B-A2.5B-Thinking
59
Verified leaderboard positions: MAI-Thinking-1 #23 · Mellum2-12B-A2.5B-Thinking unranked
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Thinking only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+1.1 difference
Knowledge
+12.3 difference
Inst. Following
+8.5 difference
MAI-Thinking-1
Mellum2-12B-A2.5B-Thinking
N/A
N/A
N/A
N/A
N/A
N/A
256K
128K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Thinking only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MAI-Thinking-1's sharpest advantage is in knowledge, where it averages 69.9 against 57.6. The single biggest benchmark swing on the page is GPQA, 84.2% to 57.6%.
MAI-Thinking-1 gives you the larger context window at 256K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 59. The biggest single separator in this matchup is GPQA, where the scores are 84.2% and 57.6%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 57.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 69.9. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for instruction following in this comparison, averaging 85 versus 76.5. Mellum2-12B-A2.5B-Thinking stays close enough that the answer can still flip depending on your workload.
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