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 47. 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 multimodal & grounded, where it averages 73.1 against 55.3. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 53.
Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for GPT-4 Turbo.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. GPT-4 Turbo only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Mini
46.2
GPT-4 Turbo
44.7
Seed-2.0-Mini
24.7
GPT-4 Turbo
17.2
Seed-2.0-Mini
73.1
GPT-4 Turbo
55.3
Seed-2.0-Mini
64.8
GPT-4 Turbo
61
Seed-2.0-Mini
44.6
GPT-4 Turbo
41.1
Seed-2.0-Mini
80
GPT-4 Turbo
80
Seed-2.0-Mini
71.8
GPT-4 Turbo
68.5
Seed-2.0-Mini
65.1
GPT-4 Turbo
64.4
Seed-2.0-Mini is ahead overall, 53 to 47. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 53.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 41.1. Inside this category, MMLU-Pro 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 17.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for math in this comparison, averaging 65.1 versus 64.4. Inside this category, AIME 2023 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 61. Inside this category, MRCRv2 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 44.7. 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 55.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini and GPT-4 Turbo are effectively tied for instruction following here, both landing at 80 on average.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 68.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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