Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 63. 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 knowledge, where it averages 70.8 against 53.9. The single biggest benchmark swing on the page is MMLU, 86.9 to 71. Seed-2.0-Lite does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed-2.0-Lite. That is roughly 2.2x on output cost alone. o3-mini is the reasoning model in the pair, while Seed-2.0-Lite 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-Lite 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-Lite only becomes the better choice if multilingual is the priority or you want the cheaper token bill.
o3-mini
66.6
Seed-2.0-Lite
55.1
o3-mini
55.6
Seed-2.0-Lite
41.4
o3-mini
74.4
Seed-2.0-Lite
79.6
o3-mini
81.1
Seed-2.0-Lite
73
o3-mini
70.8
Seed-2.0-Lite
53.9
o3-mini
93.9
Seed-2.0-Lite
89
o3-mini
73
Seed-2.0-Lite
82.5
o3-mini
87.3
Seed-2.0-Lite
75
o3-mini is ahead overall, 71 to 63. The biggest single separator in this matchup is MMLU, where the scores are 86.9 and 71.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 53.9. 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 41.4. 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 75. 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 73. 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 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 74.4. Inside this category, MMMU-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 89. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 73. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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