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 45. 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 45.2. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 38.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 32K for Nemotron 3 Nano 30B.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Nemotron 3 Nano 30B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Lite
55.1
Nemotron 3 Nano 30B
39.6
Seed-2.0-Lite
41.4
Nemotron 3 Nano 30B
22
Seed-2.0-Lite
79.6
Nemotron 3 Nano 30B
45.2
Seed-2.0-Lite
73
Nemotron 3 Nano 30B
54
Seed-2.0-Lite
53.9
Nemotron 3 Nano 30B
43.8
Seed-2.0-Lite
89
Nemotron 3 Nano 30B
78
Seed-2.0-Lite
82.5
Nemotron 3 Nano 30B
71.8
Seed-2.0-Lite
75
Nemotron 3 Nano 30B
63.7
Seed-2.0-Lite is ahead overall, 63 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 38.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 43.8. 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 22. Inside this category, LiveCodeBench 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 63.7. 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 54. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for agentic tasks in this comparison, averaging 55.1 versus 39.6. Inside this category, BrowseComp 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 45.2. 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 78. 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 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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