Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Nemotron 3 Nano Omni 30B A3B
56
o3-mini
56
Treat this as a split decision. Nemotron 3 Nano Omni 30B A3B makes more sense if coding is the priority or you want the cheaper token bill; o3-mini is the better fit if instruction following is the priority.
Coding
+4.2 difference
Knowledge
+1.7 difference
Inst. Following
+19.7 difference
Nemotron 3 Nano Omni 30B A3B
o3-mini
$0 / $0
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
256K
200K
Treat this as a split decision. Nemotron 3 Nano Omni 30B A3B makes more sense if coding is the priority or you want the cheaper token bill; o3-mini is the better fit if instruction following is the priority.
Nemotron 3 Nano Omni 30B A3B and o3-mini finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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 Nano Omni 30B A3B. That is roughly Infinityx on output cost alone. Nemotron 3 Nano Omni 30B A3B gives you the larger context window at 256K, compared with 200K for o3-mini.
Nemotron 3 Nano Omni 30B A3B and o3-mini are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 75.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Nemotron 3 Nano Omni 30B A3B has the edge for coding in this comparison, averaging 53.5 versus 49.3. o3-mini stays close enough that the answer can still flip depending on your workload.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 74.2. Nemotron 3 Nano Omni 30B A3B stays close enough that the answer can still flip depending on your workload.
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