Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron 3 Super 120B A12B is clearly ahead on the aggregate, 61 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron 3 Super 120B A12B's sharpest advantage is in mathematics, where it averages 74.6 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 69 to 9.8. GPT-4.1 nano does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 120B A12B. That is roughly Infinityx on output cost alone. GPT-4.1 nano gives you the larger context window at 1M, compared with 256K for Nemotron 3 Super 120B A12B.
Pick Nemotron 3 Super 120B A12B if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if reasoning is the priority or you need the larger 1M context window.
Nemotron 3 Super 120B A12B
55.3
GPT-4.1 nano
47.4
Nemotron 3 Super 120B A12B
44.2
GPT-4.1 nano
18
Nemotron 3 Super 120B A12B
60.4
GPT-4.1 nano
59.3
Nemotron 3 Super 120B A12B
71.8
GPT-4.1 nano
74.1
Nemotron 3 Super 120B A12B
55.8
GPT-4.1 nano
50.7
Nemotron 3 Super 120B A12B
86
GPT-4.1 nano
83.2
Nemotron 3 Super 120B A12B
81.5
GPT-4.1 nano
59
Nemotron 3 Super 120B A12B
74.6
GPT-4.1 nano
9.8
Nemotron 3 Super 120B A12B is ahead overall, 61 to 49. The biggest single separator in this matchup is AIME 2024, where the scores are 69 and 9.8.
Nemotron 3 Super 120B A12B has the edge for knowledge tasks in this comparison, averaging 55.8 versus 50.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for coding in this comparison, averaging 44.2 versus 18. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for math in this comparison, averaging 74.6 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for reasoning in this comparison, averaging 74.1 versus 71.8. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for agentic tasks in this comparison, averaging 55.3 versus 47.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for multimodal and grounded tasks in this comparison, averaging 60.4 versus 59.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for instruction following in this comparison, averaging 86 versus 83.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for multilingual tasks in this comparison, averaging 81.5 versus 59. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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