Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron 3 Ultra 500B finishes one point ahead overall, 64 to 63. 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.
Nemotron 3 Ultra 500B's sharpest advantage is in agentic, where it averages 62.8 against 55.1. The single biggest benchmark swing on the page is MMMU-Pro, 61 to 80. Seed-2.0-Lite does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Ultra 500B is the reasoning model in the pair, while Seed-2.0-Lite 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 Ultra 500B gives you the larger context window at 10M, compared with 256K for Seed-2.0-Lite.
Pick Nemotron 3 Ultra 500B if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if multimodal & grounded is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Nemotron 3 Ultra 500B
62.8
Seed-2.0-Lite
55.1
Nemotron 3 Ultra 500B
43.8
Seed-2.0-Lite
41.4
Nemotron 3 Ultra 500B
66.9
Seed-2.0-Lite
79.6
Nemotron 3 Ultra 500B
77.2
Seed-2.0-Lite
73
Nemotron 3 Ultra 500B
57
Seed-2.0-Lite
53.9
Nemotron 3 Ultra 500B
84
Seed-2.0-Lite
89
Nemotron 3 Ultra 500B
79.7
Seed-2.0-Lite
82.5
Nemotron 3 Ultra 500B
78
Seed-2.0-Lite
75
Nemotron 3 Ultra 500B is ahead overall, 64 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 61 and 80.
Nemotron 3 Ultra 500B has the edge for knowledge tasks in this comparison, averaging 57 versus 53.9. Inside this category, HLE is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for coding in this comparison, averaging 43.8 versus 41.4. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for math in this comparison, averaging 78 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for reasoning in this comparison, averaging 77.2 versus 73. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for agentic tasks in this comparison, averaging 62.8 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 66.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 79.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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