Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-5
67
Mellum2-12B-A2.5B-Thinking
59
Verified leaderboard positions: GLM-5 #22 · Mellum2-12B-A2.5B-Thinking unranked
Pick GLM-5 if you want the stronger benchmark profile. Mellum2-12B-A2.5B-Thinking only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
Coding
+6.7 difference
Knowledge
+13.1 difference
Inst. Following
+16.1 difference
GLM-5
Mellum2-12B-A2.5B-Thinking
$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-Thinking only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
GLM-5 is clearly ahead on the provisional aggregate, 67 to 59. 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 instruction following, where it averages 92.6 against 76.5. The single biggest benchmark swing on the page is GPQA, 86% to 57.6%. Mellum2-12B-A2.5B-Thinking does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Mellum2-12B-A2.5B-Thinking is the reasoning model in the pair, while GLM-5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GLM-5 gives you the larger context window at 200K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
GLM-5 is ahead on BenchLM's provisional leaderboard, 67 to 59. The biggest single separator in this matchup is GPQA, where the scores are 86% and 57.6%.
GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 57.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mellum2-12B-A2.5B-Thinking has the edge for coding in this comparison, averaging 69.9 versus 63.2. GLM-5 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 76.5. Inside this category, IFEval is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.