Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
68
Mellum2-12B-A2.5B-Thinking
59
Pick GLM-4.7 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
+3.0 difference
GLM-4.7
Mellum2-12B-A2.5B-Thinking
$0 / $0
N/A
82 t/s
N/A
1.10s
N/A
200K
128K
Pick GLM-4.7 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.
GLM-4.7 is clearly ahead on the provisional aggregate, 68 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in knowledge, where it averages 60.6 against 57.6. The single biggest benchmark swing on the page is GPQA, 85.7% to 57.6%.
GLM-4.7 gives you the larger context window at 200K, compared with 128K for Mellum2-12B-A2.5B-Thinking.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 68 to 59. The biggest single separator in this matchup is GPQA, where the scores are 85.7% and 57.6%.
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 60.6 versus 57.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-4.7 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.
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