Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek LLM 2.0 finishes one point ahead overall, 62 to 61. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
DeepSeek LLM 2.0's sharpest advantage is in mathematics, where it averages 80.8 against 74.6. The single biggest benchmark swing on the page is HumanEval, 73 to 59. Nemotron 3 Super 120B A12B does hit back in multilingual, 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 LLM 2.0.
Pick DeepSeek LLM 2.0 if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if multilingual is the priority or you need the larger 256K context window.
DeepSeek LLM 2.0
57.9
Nemotron 3 Super 120B A12B
55.3
DeepSeek LLM 2.0
42.9
Nemotron 3 Super 120B A12B
44.2
DeepSeek LLM 2.0
64.5
Nemotron 3 Super 120B A12B
60.4
DeepSeek LLM 2.0
73.6
Nemotron 3 Super 120B A12B
71.8
DeepSeek LLM 2.0
57.5
Nemotron 3 Super 120B A12B
55.8
DeepSeek LLM 2.0
85
Nemotron 3 Super 120B A12B
86
DeepSeek LLM 2.0
78.8
Nemotron 3 Super 120B A12B
81.5
DeepSeek LLM 2.0
80.8
Nemotron 3 Super 120B A12B
74.6
DeepSeek LLM 2.0 is ahead overall, 62 to 61. The biggest single separator in this matchup is HumanEval, where the scores are 73 and 59.
DeepSeek LLM 2.0 has the edge for knowledge tasks in this comparison, averaging 57.5 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 42.9. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for math in this comparison, averaging 80.8 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for reasoning in this comparison, averaging 73.6 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for agentic tasks in this comparison, averaging 57.9 versus 55.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
DeepSeek LLM 2.0 has the edge for multimodal and grounded tasks in this comparison, averaging 64.5 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.
Nemotron 3 Super 120B A12B has the edge for multilingual tasks in this comparison, averaging 81.5 versus 78.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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