Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Qwen3.6-35B-A3B
67
ZAYA1-74B-Preview
58
Verified leaderboard positions: Qwen3.6-35B-A3B #20 · ZAYA1-74B-Preview unranked
Pick Qwen3.6-35B-A3B if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if knowledge is the priority.
Coding
+13.7 difference
Knowledge
+3.8 difference
Qwen3.6-35B-A3B
ZAYA1-74B-Preview
N/A
$0 / $0
N/A
N/A
N/A
N/A
262K
256K
Pick Qwen3.6-35B-A3B if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if knowledge is the priority.
Qwen3.6-35B-A3B is clearly ahead on the provisional aggregate, 67 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6-35B-A3B's sharpest advantage is in coding, where it averages 66.9 against 53.2. The single biggest benchmark swing on the page is GPQA, 86% 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.
Qwen3.6-35B-A3B gives you the larger context window at 262K, compared with 256K for ZAYA1-74B-Preview.
Qwen3.6-35B-A3B is ahead on BenchLM's provisional leaderboard, 67 to 58. The biggest single separator in this matchup is GPQA, where the scores are 86% and 57.3%.
ZAYA1-74B-Preview has the edge for knowledge tasks in this comparison, averaging 64.3 versus 60.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 66.9 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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