Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2 is clearly ahead on the aggregate, 66 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeekMath V2's sharpest advantage is in mathematics, where it averages 84 against 74.6. The single biggest benchmark swing on the page is HumanEval, 72 to 59. Nemotron 3 Super 120B A12B does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
DeepSeekMath V2 is the reasoning model in the pair, while Nemotron 3 Super 120B A12B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Nemotron 3 Super 120B A12B gives you the larger context window at 256K, compared with 128K for DeepSeekMath V2.
Pick DeepSeekMath V2 if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if instruction following is the priority or you need the larger 256K context window.
DeepSeekMath V2
63.9
Nemotron 3 Super 120B A12B
55.3
DeepSeekMath V2
47.3
Nemotron 3 Super 120B A12B
44.2
DeepSeekMath V2
68.1
Nemotron 3 Super 120B A12B
60.4
DeepSeekMath V2
75.9
Nemotron 3 Super 120B A12B
71.8
DeepSeekMath V2
61
Nemotron 3 Super 120B A12B
55.8
DeepSeekMath V2
83
Nemotron 3 Super 120B A12B
86
DeepSeekMath V2
82.5
Nemotron 3 Super 120B A12B
81.5
DeepSeekMath V2
84
Nemotron 3 Super 120B A12B
74.6
DeepSeekMath V2 is ahead overall, 66 to 61. The biggest single separator in this matchup is HumanEval, where the scores are 72 and 59.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 44.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for reasoning in this comparison, averaging 75.9 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for agentic tasks in this comparison, averaging 63.9 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multimodal and grounded tasks in this comparison, averaging 68.1 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 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multilingual tasks in this comparison, averaging 82.5 versus 81.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.