Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MAI-Thinking-1
65
Nemotron 3 Ultra
63
Verified leaderboard positions: MAI-Thinking-1 #23 · Nemotron 3 Ultra #24
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Nemotron 3 Ultra only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+5.7 difference
Coding
+3.2 difference
Knowledge
+7.3 difference
Inst. Following
+3.3 difference
MAI-Thinking-1
Nemotron 3 Ultra
N/A
$0 / $0
N/A
N/A
N/A
N/A
256K
1M
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Nemotron 3 Ultra only becomes the better choice if agentic is the priority or you need the larger 1M context window.
MAI-Thinking-1 has the cleaner provisional overall profile here, landing at 65 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MAI-Thinking-1's sharpest advantage is in knowledge, where it averages 69.9 against 62.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 46% to 56.4%. Nemotron 3 Ultra does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Ultra gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 46% and 56.4%.
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 62.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra has the edge for coding in this comparison, averaging 74.2 versus 71. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra has the edge for agentic tasks in this comparison, averaging 51.7 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for instruction following in this comparison, averaging 85 versus 81.7. Inside this category, IFBench is the benchmark that creates the most daylight between them.
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