Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro is clearly ahead on the aggregate, 77 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in mathematics, where it averages 94.1 against 75.9. The single biggest benchmark swing on the page is HumanEval, 91 to 64.
Seed 1.6 is the reasoning model in the pair, while Gemini 3 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 3 Pro gives you the larger context window at 2M, compared with 256K for Seed 1.6.
Pick Gemini 3 Pro if you want the stronger benchmark profile. Seed 1.6 only becomes the better choice if you want the stronger reasoning-first profile.
Gemini 3 Pro
71.1
Seed 1.6
62.3
Gemini 3 Pro
54.1
Seed 1.6
42.4
Gemini 3 Pro
93.1
Seed 1.6
79.6
Gemini 3 Pro
91.2
Seed 1.6
74.5
Gemini 3 Pro
71.8
Seed 1.6
56.4
Gemini 3 Pro
88
Seed 1.6
87
Gemini 3 Pro
86.4
Seed 1.6
83.4
Gemini 3 Pro
94.1
Seed 1.6
75.9
Gemini 3 Pro is ahead overall, 77 to 65. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 64.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 71.8 versus 56.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for coding in this comparison, averaging 54.1 versus 42.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for math in this comparison, averaging 94.1 versus 75.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for reasoning in this comparison, averaging 91.2 versus 74.5. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for agentic tasks in this comparison, averaging 71.1 versus 62.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 79.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for instruction following in this comparison, averaging 88 versus 87. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multilingual tasks in this comparison, averaging 86.4 versus 83.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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