Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron 3 Super 100B is clearly ahead on the aggregate, 59 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron 3 Super 100B's sharpest advantage is in coding, where it averages 41.3 against 8.2. The single biggest benchmark swing on the page is HumanEval, 57 to 17.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while Nemotron 3 Super 100B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Nemotron 3 Super 100B gives you the larger context window at 1M, compared with 32K for LFM2.5-1.2B-Thinking.
Pick Nemotron 3 Super 100B if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if you want the stronger reasoning-first profile.
Nemotron 3 Super 100B
56.6
LFM2.5-1.2B-Thinking
34.1
Nemotron 3 Super 100B
41.3
LFM2.5-1.2B-Thinking
8.2
Nemotron 3 Super 100B
60.4
LFM2.5-1.2B-Thinking
32.4
Nemotron 3 Super 100B
69.5
LFM2.5-1.2B-Thinking
38.4
Nemotron 3 Super 100B
52.8
LFM2.5-1.2B-Thinking
27
Nemotron 3 Super 100B
84
LFM2.5-1.2B-Thinking
72
Nemotron 3 Super 100B
79.5
LFM2.5-1.2B-Thinking
60.7
Nemotron 3 Super 100B
72.6
LFM2.5-1.2B-Thinking
42.3
Nemotron 3 Super 100B is ahead overall, 59 to 33. The biggest single separator in this matchup is HumanEval, where the scores are 57 and 17.
Nemotron 3 Super 100B has the edge for knowledge tasks in this comparison, averaging 52.8 versus 27. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for coding in this comparison, averaging 41.3 versus 8.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for math in this comparison, averaging 72.6 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for reasoning in this comparison, averaging 69.5 versus 38.4. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for agentic tasks in this comparison, averaging 56.6 versus 34.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for multimodal and grounded tasks in this comparison, averaging 60.4 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for instruction following in this comparison, averaging 84 versus 72. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for multilingual tasks in this comparison, averaging 79.5 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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