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 61. 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 60.4. The single biggest benchmark swing on the page is MMMU-Pro, 95 to 55.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while Nemotron 3 Super 120B A12B 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 Deep Think gives you the larger context window at 2M, compared with 256K for Nemotron 3 Super 120B A12B.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think
78.1
Nemotron 3 Super 120B A12B
55.3
Gemini 3 Pro Deep Think
60.3
Nemotron 3 Super 120B A12B
44.2
Gemini 3 Pro Deep Think
95
Nemotron 3 Super 120B A12B
60.4
Gemini 3 Pro Deep Think
94.5
Nemotron 3 Super 120B A12B
71.8
Gemini 3 Pro Deep Think
74.7
Nemotron 3 Super 120B A12B
55.8
Gemini 3 Pro Deep Think
89
Nemotron 3 Super 120B A12B
86
Gemini 3 Pro Deep Think
87.4
Nemotron 3 Super 120B A12B
81.5
Gemini 3 Pro Deep Think
94.5
Nemotron 3 Super 120B A12B
74.6
Gemini 3 Pro Deep Think is ahead overall, 81 to 61. The biggest single separator in this matchup is MMMU-Pro, where the scores are 95 and 55.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 55.8. Inside this category, MMLU 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 44.2. Inside this category, HumanEval 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 74.6. 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 71.8. Inside this category, SimpleQA 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 55.3. 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 60.4. 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 86. 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 81.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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