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 48. 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 44.7. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 37. Nemotron Ultra 253B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Nemotron Ultra 253B is the reasoning model in the pair, while Seed-2.0-Mini 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. Seed-2.0-Mini gives you the larger context window at 256K, compared with 32K for Nemotron Ultra 253B.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. Nemotron Ultra 253B only becomes the better choice if coding is the priority or you want the stronger reasoning-first profile.
Seed-2.0-Mini
46.2
Nemotron Ultra 253B
46.7
Seed-2.0-Mini
24.7
Nemotron Ultra 253B
33.7
Seed-2.0-Mini
73.1
Nemotron Ultra 253B
44.7
Seed-2.0-Mini
64.8
Nemotron Ultra 253B
53.3
Seed-2.0-Mini
44.6
Nemotron Ultra 253B
42.4
Seed-2.0-Mini
80
Nemotron Ultra 253B
78
Seed-2.0-Mini
71.8
Nemotron Ultra 253B
70.1
Seed-2.0-Mini
65.1
Nemotron Ultra 253B
59.7
Seed-2.0-Mini is ahead overall, 53 to 48. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 37.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 42.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for coding in this comparison, averaging 33.7 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 59.7. 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 53.3. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Nemotron Ultra 253B has the edge for agentic tasks in this comparison, averaging 46.7 versus 46.2. 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 44.7. 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 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 70.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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