Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MAI-Thinking-1
65
Ornith-1.0-9B
52
Verified leaderboard positions: MAI-Thinking-1 #26 · Ornith-1.0-9B unranked
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Ornith-1.0-9B only becomes the better choice if you need the larger 262K context window.
Agentic
+2.9 difference
Coding
+1.6 difference
MAI-Thinking-1
Ornith-1.0-9B
N/A
$0 / $0
N/A
N/A
N/A
N/A
256K
262K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Ornith-1.0-9B only becomes the better choice if you need the larger 262K context window.
MAI-Thinking-1 is clearly ahead on the provisional aggregate, 65 to 52. 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 agentic, where it averages 46 against 43.1. The single biggest benchmark swing on the page is SWE-bench Verified, 73.5% to 69.4%.
Ornith-1.0-9B gives you the larger context window at 262K, compared with 256K for MAI-Thinking-1.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 52. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 73.5% and 69.4%.
MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 69.4. Inside this category, SWE-bench Verified 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 43.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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