Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron-4 15B is clearly ahead on the aggregate, 47 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron-4 15B's sharpest advantage is in mathematics, where it averages 61.1 against 42.3. The single biggest benchmark swing on the page is HumanEval, 46 to 17.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while Nemotron-4 15B 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.
Pick Nemotron-4 15B 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-4 15B
41.3
LFM2.5-1.2B-Thinking
34.1
Nemotron-4 15B
26.5
LFM2.5-1.2B-Thinking
8.2
Nemotron-4 15B
49.6
LFM2.5-1.2B-Thinking
32.4
Nemotron-4 15B
53.4
LFM2.5-1.2B-Thinking
38.4
Nemotron-4 15B
42.6
LFM2.5-1.2B-Thinking
27
Nemotron-4 15B
79
LFM2.5-1.2B-Thinking
72
Nemotron-4 15B
72.4
LFM2.5-1.2B-Thinking
60.7
Nemotron-4 15B
61.1
LFM2.5-1.2B-Thinking
42.3
Nemotron-4 15B is ahead overall, 47 to 33. The biggest single separator in this matchup is HumanEval, where the scores are 46 and 17.
Nemotron-4 15B has the edge for knowledge tasks in this comparison, averaging 42.6 versus 27. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for coding in this comparison, averaging 26.5 versus 8.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for math in this comparison, averaging 61.1 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for reasoning in this comparison, averaging 53.4 versus 38.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for agentic tasks in this comparison, averaging 41.3 versus 34.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for multimodal and grounded tasks in this comparison, averaging 49.6 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for instruction following in this comparison, averaging 79 versus 72. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for multilingual tasks in this comparison, averaging 72.4 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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