Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4o has the cleaner overall profile here, landing at 56 versus 53. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-4o's sharpest advantage is in coding, where it averages 32.2 against 24.7. The single biggest benchmark swing on the page is LiveCodeBench, 38 to 21. Seed-2.0-Mini does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 25.0x on output cost alone. Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for GPT-4o.
Pick GPT-4o if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
GPT-4o
51.2
Seed-2.0-Mini
46.2
GPT-4o
32.2
Seed-2.0-Mini
24.7
GPT-4o
72.2
Seed-2.0-Mini
73.1
GPT-4o
64.6
Seed-2.0-Mini
64.8
GPT-4o
47.4
Seed-2.0-Mini
44.6
GPT-4o
82
Seed-2.0-Mini
80
GPT-4o
75.5
Seed-2.0-Mini
71.8
GPT-4o
71.8
Seed-2.0-Mini
65.1
GPT-4o is ahead overall, 56 to 53. The biggest single separator in this matchup is LiveCodeBench, where the scores are 38 and 21.
GPT-4o has the edge for knowledge tasks in this comparison, averaging 47.4 versus 44.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4o has the edge for coding in this comparison, averaging 32.2 versus 24.7. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-4o has the edge for math in this comparison, averaging 71.8 versus 65.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for reasoning in this comparison, averaging 64.8 versus 64.6. Inside this category, BBH is the benchmark that creates the most daylight between them.
GPT-4o has the edge for agentic tasks in this comparison, averaging 51.2 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 72.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-4o has the edge for instruction following in this comparison, averaging 82 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-4o has the edge for multilingual tasks in this comparison, averaging 75.5 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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