Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mercury 2 finishes one point ahead overall, 65 to 64. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Mercury 2's sharpest advantage is in mathematics, where it averages 80.9 against 78. The single biggest benchmark swing on the page is MuSR, 82 to 69. Nemotron 3 Ultra 500B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Nemotron 3 Ultra 500B gives you the larger context window at 10M, compared with 128K for Mercury 2.
Pick Mercury 2 if you want the stronger benchmark profile. Nemotron 3 Ultra 500B only becomes the better choice if coding is the priority or you need the larger 10M context window.
Mercury 2
63.7
Nemotron 3 Ultra 500B
62.8
Mercury 2
41.1
Nemotron 3 Ultra 500B
43.8
Mercury 2
68.3
Nemotron 3 Ultra 500B
66.9
Mercury 2
80.1
Nemotron 3 Ultra 500B
77.2
Mercury 2
57.2
Nemotron 3 Ultra 500B
57
Mercury 2
84
Nemotron 3 Ultra 500B
84
Mercury 2
79.7
Nemotron 3 Ultra 500B
79.7
Mercury 2
80.9
Nemotron 3 Ultra 500B
78
Mercury 2 is ahead overall, 65 to 64. The biggest single separator in this matchup is MuSR, where the scores are 82 and 69.
Mercury 2 has the edge for knowledge tasks in this comparison, averaging 57.2 versus 57. Inside this category, HLE is the benchmark that creates the most daylight between them.
Nemotron 3 Ultra 500B has the edge for coding in this comparison, averaging 43.8 versus 41.1. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for math in this comparison, averaging 80.9 versus 78. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for reasoning in this comparison, averaging 80.1 versus 77.2. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for agentic tasks in this comparison, averaging 63.7 versus 62.8. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for multimodal and grounded tasks in this comparison, averaging 68.3 versus 66.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mercury 2 and Nemotron 3 Ultra 500B are effectively tied for instruction following here, both landing at 84 on average.
Mercury 2 and Nemotron 3 Ultra 500B are effectively tied for multilingual tasks here, both landing at 79.7 on average.
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