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 56. 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 coding, where it averages 44.2 against 32.2. The single biggest benchmark swing on the page is SWE-bench Verified, 46 to 20. GPT-4o does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 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. Nemotron 3 Super 120B A12B gives you the larger context window at 256K, compared with 128K for GPT-4o.
Pick Nemotron 3 Super 120B A12B if you want the stronger benchmark profile. GPT-4o only becomes the better choice if multimodal & grounded is the priority.
Nemotron 3 Super 120B A12B
55.3
GPT-4o
51.2
Nemotron 3 Super 120B A12B
44.2
GPT-4o
32.2
Nemotron 3 Super 120B A12B
60.4
GPT-4o
72.2
Nemotron 3 Super 120B A12B
71.8
GPT-4o
64.6
Nemotron 3 Super 120B A12B
55.8
GPT-4o
47.4
Nemotron 3 Super 120B A12B
86
GPT-4o
82
Nemotron 3 Super 120B A12B
81.5
GPT-4o
75.5
Nemotron 3 Super 120B A12B
74.6
GPT-4o
71.8
Nemotron 3 Super 120B A12B is ahead overall, 61 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 46 and 20.
Nemotron 3 Super 120B A12B has the edge for knowledge tasks in this comparison, averaging 55.8 versus 47.4. Inside this category, HLE 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 32.2. 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 71.8. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for reasoning in this comparison, averaging 71.8 versus 64.6. Inside this category, LongBench v2 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 51.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-4o has the edge for multimodal and grounded tasks in this comparison, averaging 72.2 versus 60.4. 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 82. 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 75.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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