Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Qwen3.5-122B-A10B
65
ZAYA1-74B-Preview
58
Verified leaderboard positions: Qwen3.5-122B-A10B #8 · ZAYA1-74B-Preview unranked
Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Coding
+18.8 difference
Knowledge
+17.3 difference
Qwen3.5-122B-A10B
ZAYA1-74B-Preview
$0 / $0
$0 / $0
N/A
N/A
N/A
N/A
262K
256K
Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.5-122B-A10B is clearly ahead on the provisional aggregate, 65 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5-122B-A10B's sharpest advantage is in coding, where it averages 72 against 53.2. The single biggest benchmark swing on the page is GPQA, 86.6% to 57.3%.
Qwen3.5-122B-A10B gives you the larger context window at 262K, compared with 256K for ZAYA1-74B-Preview.
Qwen3.5-122B-A10B is ahead on BenchLM's provisional leaderboard, 65 to 58. The biggest single separator in this matchup is GPQA, where the scores are 86.6% and 57.3%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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