Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1-preview is clearly ahead on the aggregate, 77 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-preview's sharpest advantage is in coding, where it averages 64.6 against 44.2. The single biggest benchmark swing on the page is HumanEval, 86 to 59.
o1-preview is the reasoning model in the pair, while Nemotron 3 Super 120B A12B 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 120B A12B gives you the larger context window at 256K, compared with 200K for o1-preview.
Pick o1-preview if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if you need the larger 256K context window or you would rather avoid the extra latency and token burn of a reasoning model.
o1-preview
75.4
Nemotron 3 Super 120B A12B
55.3
o1-preview
64.6
Nemotron 3 Super 120B A12B
44.2
o1-preview
75.6
Nemotron 3 Super 120B A12B
60.4
o1-preview
86.8
Nemotron 3 Super 120B A12B
71.8
o1-preview
71.3
Nemotron 3 Super 120B A12B
55.8
o1-preview
88
Nemotron 3 Super 120B A12B
86
o1-preview
87.4
Nemotron 3 Super 120B A12B
81.5
o1-preview
93.5
Nemotron 3 Super 120B A12B
74.6
o1-preview is ahead overall, 77 to 61. The biggest single separator in this matchup is HumanEval, where the scores are 86 and 59.
o1-preview has the edge for knowledge tasks in this comparison, averaging 71.3 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o1-preview has the edge for coding in this comparison, averaging 64.6 versus 44.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
o1-preview has the edge for math in this comparison, averaging 93.5 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o1-preview has the edge for reasoning in this comparison, averaging 86.8 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o1-preview has the edge for agentic tasks in this comparison, averaging 75.4 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o1-preview has the edge for multimodal and grounded tasks in this comparison, averaging 75.6 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o1-preview has the edge for instruction following in this comparison, averaging 88 versus 86. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o1-preview has the edge for multilingual tasks in this comparison, averaging 87.4 versus 81.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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