Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro Deep Think is clearly ahead on the aggregate, 81 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in multimodal & grounded, where it averages 95 against 68.3. The single biggest benchmark swing on the page is MMMU-Pro, 95 to 66.
Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 128K for Mercury 2.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Mercury 2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3 Pro Deep Think
78.1
Mercury 2
63.7
Gemini 3 Pro Deep Think
60.3
Mercury 2
41.1
Gemini 3 Pro Deep Think
95
Mercury 2
68.3
Gemini 3 Pro Deep Think
94.5
Mercury 2
80.1
Gemini 3 Pro Deep Think
74.7
Mercury 2
57.2
Gemini 3 Pro Deep Think
89
Mercury 2
84
Gemini 3 Pro Deep Think
87.4
Mercury 2
79.7
Gemini 3 Pro Deep Think
94.5
Mercury 2
80.9
Gemini 3 Pro Deep Think is ahead overall, 81 to 65. The biggest single separator in this matchup is MMMU-Pro, where the scores are 95 and 66.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 57.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for coding in this comparison, averaging 60.3 versus 41.1. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for math in this comparison, averaging 94.5 versus 80.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for reasoning in this comparison, averaging 94.5 versus 80.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for agentic tasks in this comparison, averaging 78.1 versus 63.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 68.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for instruction following in this comparison, averaging 89 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multilingual tasks in this comparison, averaging 87.4 versus 79.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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