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 48.8. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 42. GPT-OSS 120B 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 128K for GPT-OSS 120B.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. GPT-OSS 120B only becomes the better choice if coding is the priority.
Seed-2.0-Mini
46.2
GPT-OSS 120B
44.8
Seed-2.0-Mini
24.7
GPT-OSS 120B
28.1
Seed-2.0-Mini
73.1
GPT-OSS 120B
48.8
Seed-2.0-Mini
64.8
GPT-OSS 120B
55.2
Seed-2.0-Mini
44.6
GPT-OSS 120B
41.5
Seed-2.0-Mini
80
GPT-OSS 120B
79
Seed-2.0-Mini
71.8
GPT-OSS 120B
70.7
Seed-2.0-Mini
65.1
GPT-OSS 120B
59.5
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 42.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 41.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for coding in this comparison, averaging 28.1 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 59.5. 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 55.2. 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 44.8. Inside this category, BrowseComp 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 48.8. 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.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 70.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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