GPT-4.1 mini vs Nemotron 3 Nano Omni 30B A3B

Pick Nemotron 3 Nano Omni 30B A3B if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if instruction following is the priority or you need the larger 1M context window.

Nemotron 3 Nano Omni 30B A3B has the cleaner provisional overall profile here, landing at 48 versus 45. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Nemotron 3 Nano Omni 30B A3B's sharpest advantage is in coding, where it averages 53.5 against 23.6. The single biggest benchmark swing on the page is GPQA, 64.2% to 72.2%. GPT-4.1 mini does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.

GPT-4.1 mini is also the more expensive model on tokens at $0.40 input / $1.60 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 is the reasoning model in the pair, while GPT-4.1 mini 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. GPT-4.1 mini gives you the larger context window at 1M, compared with 256K for Nemotron 3 Nano Omni 30B A3B.