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 61. 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 60.4. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 55.
Gemini 3 Pro gives you the larger context window at 2M, compared with 256K for Nemotron 3 Super 120B A12B.
Pick Gemini 3 Pro if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3 Pro
71.1
Nemotron 3 Super 120B A12B
55.3
Gemini 3 Pro
54.1
Nemotron 3 Super 120B A12B
44.2
Gemini 3 Pro
93.1
Nemotron 3 Super 120B A12B
60.4
Gemini 3 Pro
91.2
Nemotron 3 Super 120B A12B
71.8
Gemini 3 Pro
71.8
Nemotron 3 Super 120B A12B
55.8
Gemini 3 Pro
88
Nemotron 3 Super 120B A12B
86
Gemini 3 Pro
86.4
Nemotron 3 Super 120B A12B
81.5
Gemini 3 Pro
94.1
Nemotron 3 Super 120B A12B
74.6
Gemini 3 Pro is ahead overall, 77 to 61. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 55.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 71.8 versus 55.8. 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 44.2. 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 74.6. 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 71.8. 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 55.3. 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 60.4. 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 86. 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 81.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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