Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini is clearly ahead on the aggregate, 53 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Mini's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 49.6. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 46. Nemotron-4 15B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Seed-2.0-Mini gives you the larger context window at 256K, compared with 32K for Nemotron-4 15B.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. Nemotron-4 15B only becomes the better choice if coding is the priority.
Seed-2.0-Mini
46.2
Nemotron-4 15B
41.3
Seed-2.0-Mini
24.7
Nemotron-4 15B
26.5
Seed-2.0-Mini
73.1
Nemotron-4 15B
49.6
Seed-2.0-Mini
64.8
Nemotron-4 15B
53.4
Seed-2.0-Mini
44.6
Nemotron-4 15B
42.6
Seed-2.0-Mini
80
Nemotron-4 15B
79
Seed-2.0-Mini
71.8
Nemotron-4 15B
72.4
Seed-2.0-Mini
65.1
Nemotron-4 15B
61.1
Seed-2.0-Mini is ahead overall, 53 to 47. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 46.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 42.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for coding in this comparison, averaging 26.5 versus 24.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for math in this comparison, averaging 65.1 versus 61.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for reasoning in this comparison, averaging 64.8 versus 53.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for agentic tasks in this comparison, averaging 46.2 versus 41.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 49.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for instruction following in this comparison, averaging 80 versus 79. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for multilingual tasks in this comparison, averaging 72.4 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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