DeepSeek V3.2 vs Nemotron 3 Nano Omni 30B A3B

Pick DeepSeek V3.2 if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.

DeepSeek V3.2 is clearly ahead on the provisional aggregate, 57 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

DeepSeek V3.2's sharpest advantage is in coding, where it averages 60.9 against 53.5.

DeepSeek V3.2 is also the more expensive model on tokens at $0.28 input / $0.42 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 DeepSeek V3.2 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 Nano Omni 30B A3B gives you the larger context window at 256K, compared with 128K for DeepSeek V3.2.