Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Nemotron 3 Super 100B is clearly ahead on the aggregate, 62 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 nano is the reasoning model in the pair, while Nemotron 3 Super 100B 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. Nemotron 3 Super 100B gives you the larger context window at 1M, compared with 400K for GPT-5 nano.
Pick Nemotron 3 Super 100B if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if mathematics is the priority or you want the stronger reasoning-first profile.
Nemotron 3 Super 100B
56
GPT-5 nano
71.2
Nemotron 3 Super 100B
66.4
GPT-5 nano
85.2
Nemotron 3 Super 100B is ahead overall, 62 to 31. The biggest single separator in this matchup is AIME 2025, where the scores are 66 and 85.2.
GPT-5 nano has the edge for knowledge tasks in this comparison, averaging 71.2 versus 56. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5 nano has the edge for math in this comparison, averaging 85.2 versus 66.4. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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