Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.6
84
Mellum2-12B-A2.5B-Thinking
59
Verified leaderboard positions: Kimi K2.6 #10 · Mellum2-12B-A2.5B-Thinking unranked
Pick Kimi K2.6 if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Thinking only becomes the better choice if knowledge is the priority.
Coding
+2.1 difference
Knowledge
+3.8 difference
Kimi K2.6
Mellum2-12B-A2.5B-Thinking
$0.95 / $4
N/A
N/A
N/A
N/A
N/A
256K
128K
Pick Kimi K2.6 if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Thinking only becomes the better choice if knowledge is the priority.
Kimi K2.6 is clearly ahead on the provisional aggregate, 84 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6's sharpest advantage is in coding, where it averages 72 against 69.9. The single biggest benchmark swing on the page is GPQA, 90.5% to 57.6%. Mellum2-12B-A2.5B-Thinking does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Kimi K2.6 gives you the larger context window at 256K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 84 to 59. The biggest single separator in this matchup is GPQA, where the scores are 90.5% and 57.6%.
Mellum2-12B-A2.5B-Thinking has the edge for knowledge tasks in this comparison, averaging 57.6 versus 53.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for coding in this comparison, averaging 72 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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