Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite has the cleaner overall profile here, landing at 63 versus 61. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
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 120B A12B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Seed-2.0-Lite is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 120B A12B. That is roughly Infinityx on output cost alone.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Seed-2.0-Lite
55.1
Nemotron 3 Super 120B A12B
55.3
Seed-2.0-Lite
41.4
Nemotron 3 Super 120B A12B
44.2
Seed-2.0-Lite
79.6
Nemotron 3 Super 120B A12B
60.4
Seed-2.0-Lite
73
Nemotron 3 Super 120B A12B
71.8
Seed-2.0-Lite
53.9
Nemotron 3 Super 120B A12B
55.8
Seed-2.0-Lite
89
Nemotron 3 Super 120B A12B
86
Seed-2.0-Lite
82.5
Nemotron 3 Super 120B A12B
81.5
Seed-2.0-Lite
75
Nemotron 3 Super 120B A12B
74.6
Seed-2.0-Lite is ahead overall, 63 to 61. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 55.
Nemotron 3 Super 120B A12B has the edge for knowledge tasks in this comparison, averaging 55.8 versus 53.9. Inside this category, HLE 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 41.4. 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 74.6. 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 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for agentic tasks in this comparison, averaging 55.3 versus 55.1. 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 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 86. 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 81.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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