Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 2.5 Pro has the cleaner overall profile here, landing at 67 versus 65. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemini 2.5 Pro's sharpest advantage is in mathematics, where it averages 83.5 against 75.9. The single biggest benchmark swing on the page is SimpleQA, 81 to 69. Seed 1.6 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 1.6. That is roughly 2.5x on output cost alone. Seed 1.6 is the reasoning model in the pair, while Gemini 2.5 Pro 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. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 256K for Seed 1.6.
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Seed 1.6 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 1.6
62.3
Gemini 2.5 Pro
41
Seed 1.6
42.4
Gemini 2.5 Pro
85.1
Seed 1.6
79.6
Gemini 2.5 Pro
80.7
Seed 1.6
74.5
Gemini 2.5 Pro
58.4
Seed 1.6
56.4
Gemini 2.5 Pro
83
Seed 1.6
87
Gemini 2.5 Pro
82.7
Seed 1.6
83.4
Gemini 2.5 Pro
83.5
Seed 1.6
75.9
Gemini 2.5 Pro is ahead overall, 67 to 65. The biggest single separator in this matchup is SimpleQA, where the scores are 81 and 69.
Gemini 2.5 Pro has the edge for knowledge tasks in this comparison, averaging 58.4 versus 56.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for coding in this comparison, averaging 42.4 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 75.9. 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 74.5. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for agentic tasks in this comparison, averaging 62.3 versus 61.7. Inside this category, BrowseComp 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 1.6 has the edge for instruction following in this comparison, averaging 87 versus 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 82.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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