Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 Pro is clearly ahead on the aggregate, 91 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in coding, where it averages 87.4 against 24.7. The single biggest benchmark swing on the page is LiveCodeBench, 86 to 21.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 450.0x on output cost alone. GPT-5.4 Pro 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. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for Seed-2.0-Mini.
Pick GPT-5.4 Pro 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 would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro
87.4
Seed-2.0-Mini
46.2
GPT-5.4 Pro
87.4
Seed-2.0-Mini
24.7
GPT-5.4 Pro
94.9
Seed-2.0-Mini
73.1
GPT-5.4 Pro
96.1
Seed-2.0-Mini
64.8
GPT-5.4 Pro
83.8
Seed-2.0-Mini
44.6
GPT-5.4 Pro
97
Seed-2.0-Mini
80
GPT-5.4 Pro
95.7
Seed-2.0-Mini
71.8
GPT-5.4 Pro
98.2
Seed-2.0-Mini
65.1
GPT-5.4 Pro is ahead overall, 91 to 53. The biggest single separator in this matchup is LiveCodeBench, where the scores are 86 and 21.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 83.8 versus 44.6. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 87.4 versus 24.7. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for math in this comparison, averaging 98.2 versus 65.1. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.1 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 87.4 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94.9 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 95.7 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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