Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 2.5 Pro is clearly ahead on the aggregate, 67 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro's sharpest advantage is in mathematics, where it averages 83.5 against 75. The single biggest benchmark swing on the page is SimpleQA, 81 to 68. Seed-2.0-Lite does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed-2.0-Lite. That is roughly 2.5x on output cost alone. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 256K for Seed-2.0-Lite.
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if instruction following is the priority or you want the cheaper token bill.
Gemini 2.5 Pro
61.7
Seed-2.0-Lite
55.1
Gemini 2.5 Pro
41
Seed-2.0-Lite
41.4
Gemini 2.5 Pro
85.1
Seed-2.0-Lite
79.6
Gemini 2.5 Pro
80.7
Seed-2.0-Lite
73
Gemini 2.5 Pro
58.4
Seed-2.0-Lite
53.9
Gemini 2.5 Pro
83
Seed-2.0-Lite
89
Gemini 2.5 Pro
82.7
Seed-2.0-Lite
82.5
Gemini 2.5 Pro
83.5
Seed-2.0-Lite
75
Gemini 2.5 Pro is ahead overall, 67 to 63. The biggest single separator in this matchup is SimpleQA, where the scores are 81 and 68.
Gemini 2.5 Pro has the edge for knowledge tasks in this comparison, averaging 58.4 versus 53.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for coding in this comparison, averaging 41.4 versus 41. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for math in this comparison, averaging 83.5 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for reasoning in this comparison, averaging 80.7 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for agentic tasks in this comparison, averaging 61.7 versus 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 85.1 versus 79.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multilingual tasks in this comparison, averaging 82.7 versus 82.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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