Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.2 has the cleaner overall profile here, landing at 64 versus 61. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V3.2's sharpest advantage is in mathematics, where it averages 82.1 against 74.6. The single biggest benchmark swing on the page is HumanEval, 76 to 59. Nemotron 3 Super 120B A12B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Super 120B A12B gives you the larger context window at 256K, compared with 128K for DeepSeek V3.2.
Pick DeepSeek V3.2 if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if coding is the priority or you need the larger 256K context window.
DeepSeek V3.2
58.8
Nemotron 3 Super 120B A12B
55.3
DeepSeek V3.2
43.2
Nemotron 3 Super 120B A12B
44.2
DeepSeek V3.2
66
Nemotron 3 Super 120B A12B
60.4
DeepSeek V3.2
75.3
Nemotron 3 Super 120B A12B
71.8
DeepSeek V3.2
60
Nemotron 3 Super 120B A12B
55.8
DeepSeek V3.2
85
Nemotron 3 Super 120B A12B
86
DeepSeek V3.2
82.1
Nemotron 3 Super 120B A12B
81.5
DeepSeek V3.2
82.1
Nemotron 3 Super 120B A12B
74.6
DeepSeek V3.2 is ahead overall, 64 to 61. The biggest single separator in this matchup is HumanEval, where the scores are 76 and 59.
DeepSeek V3.2 has the edge for knowledge tasks in this comparison, averaging 60 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 43.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for math in this comparison, averaging 82.1 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for reasoning in this comparison, averaging 75.3 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for agentic tasks in this comparison, averaging 58.8 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for multimodal and grounded tasks in this comparison, averaging 66 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 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 81.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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