Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Laguna M.1
51
MAI-Thinking-1
65
Verified leaderboard positions: Laguna M.1 unranked · MAI-Thinking-1 #23
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+0.2 difference
Coding
+12.4 difference
Laguna M.1
MAI-Thinking-1
$0 / $0
N/A
N/A
N/A
N/A
N/A
131K
256K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Laguna M.1 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 51. 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 58.6. The single biggest benchmark swing on the page is SWE-bench Pro, 49.2% to 52.8%.
MAI-Thinking-1 gives you the larger context window at 256K, compared with 131K for Laguna M.1.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 51. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 49.2% and 52.8%.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 58.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for agentic tasks in this comparison, averaging 46 versus 45.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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