Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Sibling matchup inside the ZAYA1 family.
ZAYA1-74B-Preview
58
ZAYA1-8B
62
ZAYA1-74B-Preview makes more sense if you need the larger 256K context window, while ZAYA1-8B is the cleaner fit if knowledge is the priority.
Knowledge
+8.8 difference
ZAYA1-74B-Preview
ZAYA1-8B
$0 / $0
$0 / $0
N/A
N/A
N/A
N/A
256K
131K
ZAYA1-74B-Preview makes more sense if you need the larger 256K context window, while ZAYA1-8B is the cleaner fit if knowledge is the priority.
ZAYA1-74B-Preview and ZAYA1-8B sit in the same ZAYA1 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
ZAYA1-8B is clearly ahead on the provisional aggregate, 62 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
ZAYA1-8B's sharpest advantage is in knowledge, where it averages 73.1 against 64.3. The single biggest benchmark swing on the page is GPQA, 57.3% to 71%.
ZAYA1-74B-Preview gives you the larger context window at 256K, compared with 131K for ZAYA1-8B.
ZAYA1-74B-Preview and ZAYA1-8B are sibling variants in the ZAYA1 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. ZAYA1-8B is ahead on BenchLM's provisional leaderboard 62 to 58.
ZAYA1-8B has the edge for knowledge tasks in this comparison, averaging 73.1 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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