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 multimodal & grounded, where it averages 93.1 against 68.3. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 66.
Mercury 2 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 128K for Mercury 2.
Pick Gemini 3 Pro if you want the stronger benchmark profile. Mercury 2 only becomes the better choice if you want the stronger reasoning-first profile.
Gemini 3 Pro
71.1
Mercury 2
63.7
Gemini 3 Pro
54.1
Mercury 2
41.1
Gemini 3 Pro
93.1
Mercury 2
68.3
Gemini 3 Pro
91.2
Mercury 2
80.1
Gemini 3 Pro
71.8
Mercury 2
57.2
Gemini 3 Pro
88
Mercury 2
84
Gemini 3 Pro
86.4
Mercury 2
79.7
Gemini 3 Pro
94.1
Mercury 2
80.9
Gemini 3 Pro is ahead overall, 77 to 65. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 66.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 71.8 versus 57.2. 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 41.1. 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 80.9. 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 80.1. 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 63.7. 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 68.3. 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 84. 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 79.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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