Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron 3 Super 120B A12B has the cleaner overall profile here, landing at 61 versus 58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Nemotron 3 Super 120B A12B's sharpest advantage is in mathematics, where it averages 74.6 against 23.1. The single biggest benchmark swing on the page is AIME 2024, 69 to 23.1. GPT-4.1 mini does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini is also the more expensive model on tokens at $0.40 input / $1.60 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 mini 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 mini only becomes the better choice if multimodal & grounded is the priority or you need the larger 1M context window.
Nemotron 3 Super 120B A12B
55.3
GPT-4.1 mini
56.5
Nemotron 3 Super 120B A12B
44.2
GPT-4.1 mini
28.8
Nemotron 3 Super 120B A12B
60.4
GPT-4.1 mini
69.6
Nemotron 3 Super 120B A12B
71.8
GPT-4.1 mini
80.9
Nemotron 3 Super 120B A12B
55.8
GPT-4.1 mini
62.4
Nemotron 3 Super 120B A12B
86
GPT-4.1 mini
88.5
Nemotron 3 Super 120B A12B
81.5
GPT-4.1 mini
72
Nemotron 3 Super 120B A12B
74.6
GPT-4.1 mini
23.1
Nemotron 3 Super 120B A12B is ahead overall, 61 to 58. The biggest single separator in this matchup is AIME 2024, where the scores are 69 and 23.1.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 62.4 versus 55.8. Inside this category, MMLU 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 28.8. Inside this category, SWE-bench Verified 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 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for reasoning in this comparison, averaging 80.9 versus 71.8. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for agentic tasks in this comparison, averaging 56.5 versus 55.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for multimodal and grounded tasks in this comparison, averaging 69.6 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 86. 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 72. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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