Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1-preview is clearly ahead on the aggregate, 77 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-preview's sharpest advantage is in coding, where it averages 64.6 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 65 to 22.
o1-preview 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 200K for o1-preview.
Pick o1-preview if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you need the larger 256K context window or you would rather avoid the extra latency and token burn of a reasoning model.
o1-preview
75.4
Seed-2.0-Mini
46.2
o1-preview
64.6
Seed-2.0-Mini
24.7
o1-preview
75.6
Seed-2.0-Mini
73.1
o1-preview
86.8
Seed-2.0-Mini
64.8
o1-preview
71.3
Seed-2.0-Mini
44.6
o1-preview
88
Seed-2.0-Mini
80
o1-preview
87.4
Seed-2.0-Mini
71.8
o1-preview
93.5
Seed-2.0-Mini
65.1
o1-preview is ahead overall, 77 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 65 and 22.
o1-preview has the edge for knowledge tasks in this comparison, averaging 71.3 versus 44.6. Inside this category, HLE is the benchmark that creates the most daylight between them.
o1-preview has the edge for coding in this comparison, averaging 64.6 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o1-preview has the edge for math in this comparison, averaging 93.5 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o1-preview has the edge for reasoning in this comparison, averaging 86.8 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o1-preview has the edge for agentic tasks in this comparison, averaging 75.4 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o1-preview has the edge for multimodal and grounded tasks in this comparison, averaging 75.6 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
o1-preview has the edge for instruction following in this comparison, averaging 88 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o1-preview has the edge for multilingual tasks in this comparison, averaging 87.4 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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