Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MAI-Thinking-1
65
ZAYA1-74B-Preview
54
Verified leaderboard positions: MAI-Thinking-1 #23 · ZAYA1-74B-Preview unranked
Pick MAI-Thinking-1 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
+17.8 difference
Knowledge
+5.6 difference
MAI-Thinking-1
ZAYA1-74B-Preview
N/A
$0 / $0
N/A
N/A
N/A
N/A
256K
256K
Pick MAI-Thinking-1 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.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 54. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MAI-Thinking-1's sharpest advantage is in coding, where it averages 71 against 53.2. The single biggest benchmark swing on the page is GPQA, 84.2% to 57.3%.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 54. The biggest single separator in this matchup is GPQA, where the scores are 84.2% and 57.3%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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