Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Mellum2-12B-A2.5B-Thinking
59
Qwen3.6-27B
73
Verified leaderboard positions: Mellum2-12B-A2.5B-Thinking unranked · Qwen3.6-27B #19
Pick Qwen3.6-27B 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
+0.7 difference
Knowledge
+4.6 difference
Mellum2-12B-A2.5B-Thinking
Qwen3.6-27B
N/A
$0 / $0
N/A
N/A
N/A
N/A
128K
262K
Pick Qwen3.6-27B 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.
Qwen3.6-27B is clearly ahead on the provisional aggregate, 73 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6-27B's sharpest advantage is in knowledge, where it averages 62.2 against 57.6. The single biggest benchmark swing on the page is GPQA, 57.6% to 87.8%.
Qwen3.6-27B gives you the larger context window at 262K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
Qwen3.6-27B is ahead on BenchLM's provisional leaderboard, 73 to 59. The biggest single separator in this matchup is GPQA, where the scores are 57.6% and 87.8%.
Qwen3.6-27B has the edge for knowledge tasks in this comparison, averaging 62.2 versus 57.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.6-27B has the edge for coding in this comparison, averaging 70.6 versus 69.9. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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