Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
69
ZAYA1-74B-Preview
58
Pick GLM-4.7 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if knowledge is the priority or you need the larger 256K context window.
Coding
+17.4 difference
Knowledge
+3.7 difference
GLM-4.7
ZAYA1-74B-Preview
$0 / $0
$0 / $0
82 t/s
N/A
1.10s
N/A
200K
256K
Pick GLM-4.7 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if knowledge is the priority or you need the larger 256K context window.
GLM-4.7 is clearly ahead on the provisional aggregate, 69 to 58. 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 coding, where it averages 70.6 against 53.2. The single biggest benchmark swing on the page is GPQA, 85.7% to 57.3%. ZAYA1-74B-Preview does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
ZAYA1-74B-Preview gives you the larger context window at 256K, compared with 200K for GLM-4.7.
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 69 to 58. The biggest single separator in this matchup is GPQA, where the scores are 85.7% and 57.3%.
ZAYA1-74B-Preview has the edge for knowledge tasks in this comparison, averaging 64.3 versus 60.6. 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 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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