Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite is clearly ahead on the aggregate, 63 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Lite's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 60.4. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 55. Nemotron 3 Super 100B does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Super 100B gives you the larger context window at 1M, compared with 256K for Seed-2.0-Lite.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Nemotron 3 Super 100B only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Seed-2.0-Lite
55.1
Nemotron 3 Super 100B
56.6
Seed-2.0-Lite
41.4
Nemotron 3 Super 100B
41.3
Seed-2.0-Lite
79.6
Nemotron 3 Super 100B
60.4
Seed-2.0-Lite
73
Nemotron 3 Super 100B
69.5
Seed-2.0-Lite
53.9
Nemotron 3 Super 100B
52.8
Seed-2.0-Lite
89
Nemotron 3 Super 100B
84
Seed-2.0-Lite
82.5
Nemotron 3 Super 100B
79.5
Seed-2.0-Lite
75
Nemotron 3 Super 100B
72.6
Seed-2.0-Lite is ahead overall, 63 to 59. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 55.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 52.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for coding in this comparison, averaging 41.4 versus 41.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for math in this comparison, averaging 75 versus 72.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for reasoning in this comparison, averaging 73 versus 69.5. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Nemotron 3 Super 100B has the edge for agentic tasks in this comparison, averaging 56.6 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 60.4. 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 79.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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