Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mellum2-12B-A2.5B-Thinking
59
Qwen3.5-122B-A10B
64
Verified leaderboard positions: Mellum2-12B-A2.5B-Thinking unranked · Qwen3.5-122B-A10B #12
Pick Qwen3.5-122B-A10B 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
+2.1 difference
Knowledge
+24.0 difference
Inst. Following
+16.9 difference
Mellum2-12B-A2.5B-Thinking
Qwen3.5-122B-A10B
N/A
$0 / $0
N/A
N/A
N/A
N/A
128K
262K
Pick Qwen3.5-122B-A10B 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.
Qwen3.5-122B-A10B is clearly ahead on the provisional aggregate, 64 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5-122B-A10B's sharpest advantage is in knowledge, where it averages 81.6 against 57.6. The single biggest benchmark swing on the page is GPQA, 57.6% to 86.6%.
Qwen3.5-122B-A10B gives you the larger context window at 262K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
Qwen3.5-122B-A10B is ahead on BenchLM's provisional leaderboard, 64 to 59. The biggest single separator in this matchup is GPQA, where the scores are 57.6% and 86.6%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 57.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 69.9. Mellum2-12B-A2.5B-Thinking stays close enough that the answer can still flip depending on your workload.
Qwen3.5-122B-A10B has the edge for instruction following in this comparison, averaging 93.4 versus 76.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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