Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in coding, where it averages 55.6 against 24.7. The single biggest benchmark swing on the page is SWE-bench Pro, 57 to 29.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 11.0x on output cost alone. o3-mini 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 o3-mini.
Pick o3-mini if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
o3-mini
66.6
Seed-2.0-Mini
46.2
o3-mini
55.6
Seed-2.0-Mini
24.7
o3-mini
74.4
Seed-2.0-Mini
73.1
o3-mini
81.1
Seed-2.0-Mini
64.8
o3-mini
70.8
Seed-2.0-Mini
44.6
o3-mini
93.9
Seed-2.0-Mini
80
o3-mini
73
Seed-2.0-Mini
71.8
o3-mini
87.3
Seed-2.0-Mini
65.1
o3-mini is ahead overall, 71 to 53. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 57 and 29.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o3-mini has the edge for coding in this comparison, averaging 55.6 versus 24.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 65.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for reasoning in this comparison, averaging 81.1 versus 64.8. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-mini has the edge for agentic tasks in this comparison, averaging 66.6 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o3-mini has the edge for multimodal and grounded tasks in this comparison, averaging 74.4 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o3-mini has the edge for multilingual tasks in this comparison, averaging 73 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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