Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Pro's sharpest advantage is in coding, where it averages 84.8 against 41.4. The single biggest benchmark swing on the page is LiveCodeBench, 81 to 37.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed-2.0-Lite. That is roughly 75.0x on output cost alone. GPT-5.2 Pro 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. GPT-5.2 Pro gives you the larger context window at 400K, compared with 256K for Seed-2.0-Lite.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Pro
85.9
Seed-2.0-Lite
55.1
GPT-5.2 Pro
84.8
Seed-2.0-Lite
41.4
GPT-5.2 Pro
96
Seed-2.0-Lite
79.6
GPT-5.2 Pro
95.2
Seed-2.0-Lite
73
GPT-5.2 Pro
81.5
Seed-2.0-Lite
53.9
GPT-5.2 Pro
95
Seed-2.0-Lite
89
GPT-5.2 Pro
93.4
Seed-2.0-Lite
82.5
GPT-5.2 Pro
98.2
Seed-2.0-Lite
75
GPT-5.2 Pro is ahead overall, 90 to 63. The biggest single separator in this matchup is LiveCodeBench, where the scores are 81 and 37.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 53.9. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for coding in this comparison, averaging 84.8 versus 41.4. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for math in this comparison, averaging 98.2 versus 75. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for reasoning in this comparison, averaging 95.2 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for agentic tasks in this comparison, averaging 85.9 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 96 versus 79.6. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for instruction following in this comparison, averaging 95 versus 89. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multilingual tasks in this comparison, averaging 93.4 versus 82.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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