Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
67
Mellum2-12B-A2.5B-Instruct
27
Verified leaderboard positions: GLM-5 #22 · Mellum2-12B-A2.5B-Instruct unranked
Pick GLM-5 if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Instruct only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+26.0 difference
Knowledge
+29.8 difference
Inst. Following
+16.8 difference
GLM-5
Mellum2-12B-A2.5B-Instruct
$1 / $3.2
N/A
74 t/s
N/A
1.64s
N/A
200K
128K
Pick GLM-5 if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Instruct only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GLM-5 is clearly ahead on the provisional aggregate, 67 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in knowledge, where it averages 70.7 against 40.9. The single biggest benchmark swing on the page is GPQA, 86% to 40.9%.
GLM-5 gives you the larger context window at 200K, compared with 128K for Mellum2-12B-A2.5B-Instruct.
GLM-5 is ahead on BenchLM's provisional leaderboard, 67 to 27. The biggest single separator in this matchup is GPQA, where the scores are 86% and 40.9%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 40.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-5 has the edge for coding in this comparison, averaging 63.2 versus 37.2. Mellum2-12B-A2.5B-Instruct stays close enough that the answer can still flip depending on your workload.
GLM-5 has the edge for instruction following in this comparison, averaging 92.6 versus 75.8. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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