Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 (high) is clearly ahead on the aggregate, 79 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (high)'s sharpest advantage is in coding, where it averages 66.1 against 41.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 78 to 52.
GPT-5 (high) 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 (high).
Pick GPT-5 (high) if you want the stronger benchmark profile. Seed-2.0-Lite 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.
GPT-5 (high)
75.2
Seed-2.0-Lite
55.1
GPT-5 (high)
66.1
Seed-2.0-Lite
41.4
GPT-5 (high)
89.4
Seed-2.0-Lite
79.6
GPT-5 (high)
85.7
Seed-2.0-Lite
73
GPT-5 (high)
71.1
Seed-2.0-Lite
53.9
GPT-5 (high)
91
Seed-2.0-Lite
89
GPT-5 (high)
86.4
Seed-2.0-Lite
82.5
GPT-5 (high)
94
Seed-2.0-Lite
75
GPT-5 (high) is ahead overall, 79 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 78 and 52.
GPT-5 (high) has the edge for knowledge tasks in this comparison, averaging 71.1 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for coding in this comparison, averaging 66.1 versus 41.4. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for math in this comparison, averaging 94 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for reasoning in this comparison, averaging 85.7 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for agentic tasks in this comparison, averaging 75.2 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for multimodal and grounded tasks in this comparison, averaging 89.4 versus 79.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for instruction following in this comparison, averaging 91 versus 89. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for multilingual tasks in this comparison, averaging 86.4 versus 82.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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