Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 2.5 Pro is clearly ahead on the aggregate, 67 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro's sharpest advantage is in multimodal & grounded, where it averages 85.1 against 60.4. The single biggest benchmark swing on the page is MMMU-Pro, 86 to 55. Nemotron 3 Super 120B A12B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 120B A12B. That is roughly Infinityx on output cost alone. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 256K for Nemotron 3 Super 120B A12B.
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Gemini 2.5 Pro
61.7
Nemotron 3 Super 120B A12B
55.3
Gemini 2.5 Pro
41
Nemotron 3 Super 120B A12B
44.2
Gemini 2.5 Pro
85.1
Nemotron 3 Super 120B A12B
60.4
Gemini 2.5 Pro
80.7
Nemotron 3 Super 120B A12B
71.8
Gemini 2.5 Pro
58.4
Nemotron 3 Super 120B A12B
55.8
Gemini 2.5 Pro
83
Nemotron 3 Super 120B A12B
86
Gemini 2.5 Pro
82.7
Nemotron 3 Super 120B A12B
81.5
Gemini 2.5 Pro
83.5
Nemotron 3 Super 120B A12B
74.6
Gemini 2.5 Pro is ahead overall, 67 to 61. The biggest single separator in this matchup is MMMU-Pro, where the scores are 86 and 55.
Gemini 2.5 Pro has the edge for knowledge tasks in this comparison, averaging 58.4 versus 55.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for coding in this comparison, averaging 44.2 versus 41. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for math in this comparison, averaging 83.5 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for reasoning in this comparison, averaging 80.7 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for agentic tasks in this comparison, averaging 61.7 versus 55.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 85.1 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for instruction following in this comparison, averaging 86 versus 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multilingual tasks in this comparison, averaging 82.7 versus 81.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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