Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini finishes one point ahead overall, 53 to 52. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Seed-2.0-Mini's sharpest advantage is in coding, where it averages 24.7 against 18.5. The single biggest benchmark swing on the page is SWE-bench Verified, 22 to 5. Gemini 1.5 Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Gemini 1.5 Pro gives you the larger context window at 2M, compared with 256K for Seed-2.0-Mini.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. Gemini 1.5 Pro only becomes the better choice if agentic is the priority or you need the larger 2M context window.
Seed-2.0-Mini
46.2
Gemini 1.5 Pro
49.8
Seed-2.0-Mini
24.7
Gemini 1.5 Pro
18.5
Seed-2.0-Mini
73.1
Gemini 1.5 Pro
74.1
Seed-2.0-Mini
64.8
Gemini 1.5 Pro
66.9
Seed-2.0-Mini
44.6
Gemini 1.5 Pro
44.2
Seed-2.0-Mini
80
Gemini 1.5 Pro
77
Seed-2.0-Mini
71.8
Gemini 1.5 Pro
69.5
Seed-2.0-Mini
65.1
Gemini 1.5 Pro
67.5
Seed-2.0-Mini is ahead overall, 53 to 52. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 22 and 5.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 44.2. 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 18.5. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for math in this comparison, averaging 67.5 versus 65.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for reasoning in this comparison, averaging 66.9 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for agentic tasks in this comparison, averaging 49.8 versus 46.2. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 74.1 versus 73.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for instruction following in this comparison, averaging 80 versus 77. Inside this category, IFEval 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 69.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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