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 45. 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 48.5. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 48. o1-pro does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 1500.0x on output cost alone. o1-pro 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-pro.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Seed-2.0-Mini
46.2
o1-pro
39.7
Seed-2.0-Mini
24.7
o1-pro
23
Seed-2.0-Mini
73.1
o1-pro
48.5
Seed-2.0-Mini
64.8
o1-pro
56.2
Seed-2.0-Mini
44.6
o1-pro
69.9
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Seed-2.0-Mini
71.8
o1-pro
52
Seed-2.0-Mini
65.1
o1-pro
86
Seed-2.0-Mini is ahead overall, 53 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 48.
o1-pro has the edge for knowledge tasks in this comparison, averaging 69.9 versus 44.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for coding in this comparison, averaging 24.7 versus 23. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o1-pro has the edge for math in this comparison, averaging 86 versus 65.1. Inside this category, AIME 2024 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 56.2. Inside this category, LongBench v2 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 39.7. Inside this category, OSWorld-Verified 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 48.5. Inside this category, MMMU-Pro 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 52. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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