Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MAI-Thinking-1
65
Sakana Fugu Ultra
100
Verified leaderboard positions: MAI-Thinking-1 #26 · Sakana Fugu Ultra unranked
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+36.1 difference
Coding
+12.5 difference
Knowledge
+25.6 difference
MAI-Thinking-1
Sakana Fugu Ultra
N/A
$5 / $30
N/A
N/A
N/A
N/A
256K
1M
Pick Sakana Fugu Ultra if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Sakana Fugu Ultra is clearly ahead on the provisional aggregate, 100 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Sakana Fugu Ultra's sharpest advantage is in agentic, where it averages 82.1 against 46. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 46% to 82.1%.
Sakana Fugu Ultra gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.
Sakana Fugu Ultra is ahead on BenchLM's provisional leaderboard, 100 to 65. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 46% and 82.1%.
Sakana Fugu Ultra has the edge for knowledge tasks in this comparison, averaging 95.5 versus 69.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Sakana Fugu Ultra has the edge for coding in this comparison, averaging 83.5 versus 71. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Sakana Fugu Ultra has the edge for agentic tasks in this comparison, averaging 82.1 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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