Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 mini is clearly ahead on the aggregate, 69 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 mini's sharpest advantage is in mathematics, where it averages 87.2 against 75. The single biggest benchmark swing on the page is AIME 2023, 90 to 71. Seed-2.0-Lite does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
GPT-5 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 128K for GPT-5 mini.
Pick GPT-5 mini if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if instruction following is the priority or you need the larger 256K context window.
GPT-5 mini
65.7
Seed-2.0-Lite
55.1
GPT-5 mini
42.8
Seed-2.0-Lite
41.4
GPT-5 mini
83.8
Seed-2.0-Lite
79.6
GPT-5 mini
81.8
Seed-2.0-Lite
73
GPT-5 mini
62.8
Seed-2.0-Lite
53.9
GPT-5 mini
82
Seed-2.0-Lite
89
GPT-5 mini
80.1
Seed-2.0-Lite
82.5
GPT-5 mini
87.2
Seed-2.0-Lite
75
GPT-5 mini is ahead overall, 69 to 63. The biggest single separator in this matchup is AIME 2023, where the scores are 90 and 71.
GPT-5 mini has the edge for knowledge tasks in this comparison, averaging 62.8 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for coding in this comparison, averaging 42.8 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for math in this comparison, averaging 87.2 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for reasoning in this comparison, averaging 81.8 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for agentic tasks in this comparison, averaging 65.7 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for multimodal and grounded tasks in this comparison, averaging 83.8 versus 79.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 82. 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 80.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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