Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in knowledge, where it averages 70.8 against 55.8. The single biggest benchmark swing on the page is MMLU, 86.9 to 68. Nemotron 3 Super 120B A12B does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 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. o3-mini 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. Nemotron 3 Super 120B A12B gives you the larger context window at 256K, compared with 200K for o3-mini.
Pick o3-mini if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if multilingual is the priority or you want the cheaper token bill.
o3-mini
66.6
Nemotron 3 Super 120B A12B
55.3
o3-mini
55.6
Nemotron 3 Super 120B A12B
44.2
o3-mini
74.4
Nemotron 3 Super 120B A12B
60.4
o3-mini
81.1
Nemotron 3 Super 120B A12B
71.8
o3-mini
70.8
Nemotron 3 Super 120B A12B
55.8
o3-mini
93.9
Nemotron 3 Super 120B A12B
86
o3-mini
73
Nemotron 3 Super 120B A12B
81.5
o3-mini
87.3
Nemotron 3 Super 120B A12B
74.6
o3-mini is ahead overall, 71 to 61. The biggest single separator in this matchup is MMLU, where the scores are 86.9 and 68.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o3-mini has the edge for coding in this comparison, averaging 55.6 versus 44.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 74.6. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for reasoning in this comparison, averaging 81.1 versus 71.8. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-mini has the edge for agentic tasks in this comparison, averaging 66.6 versus 55.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
o3-mini has the edge for multimodal and grounded tasks in this comparison, averaging 74.4 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 86. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for multilingual tasks in this comparison, averaging 81.5 versus 73. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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