Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini is clearly ahead on the aggregate, 53 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Mini's sharpest advantage is in multilingual, where it averages 71.8 against 48. The single biggest benchmark swing on the page is AIME 2025, 63 to 85.2. GPT-5 nano does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
GPT-5 nano 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 nano gives you the larger context window at 400K, compared with 256K for Seed-2.0-Mini.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if mathematics is the priority or you need the larger 400K context window.
Seed-2.0-Mini
46.2
GPT-5 nano
37.7
Seed-2.0-Mini
24.7
GPT-5 nano
22
Seed-2.0-Mini
73.1
GPT-5 nano
56.7
Seed-2.0-Mini
64.8
GPT-5 nano
58.8
Seed-2.0-Mini
44.6
GPT-5 nano
63.7
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Seed-2.0-Mini
71.8
GPT-5 nano
48
Seed-2.0-Mini
65.1
GPT-5 nano
85.2
Seed-2.0-Mini is ahead overall, 53 to 45. The biggest single separator in this matchup is AIME 2025, where the scores are 63 and 85.2.
GPT-5 nano has the edge for knowledge tasks in this comparison, averaging 63.7 versus 44.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for coding in this comparison, averaging 24.7 versus 22. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5 nano has the edge for math in this comparison, averaging 85.2 versus 65.1. Inside this category, AIME 2025 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 58.8. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for agentic tasks in this comparison, averaging 46.2 versus 37.7. Inside this category, OSWorld-Verified 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 56.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 48. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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