Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Qwen3.7 Max
93
ZAYA1-74B-Preview
54
Verified leaderboard positions: Qwen3.7 Max #2 · ZAYA1-74B-Preview unranked
Pick Qwen3.7 Max 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
+20.4 difference
Knowledge
+6.9 difference
Qwen3.7 Max
ZAYA1-74B-Preview
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick Qwen3.7 Max 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.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 54. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in coding, where it averages 73.6 against 53.2. The single biggest benchmark swing on the page is GPQA, 92.4% to 57.3%.
Qwen3.7 Max gives you the larger context window at 1M, compared with 256K for ZAYA1-74B-Preview.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 54. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 57.3%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for coding in this comparison, averaging 73.6 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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