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NVIDIA Nemotron 3 Nano 4B vs NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning

Postavite dva do štiri modele enega ob drugega glede na polja, ki odločajo o uvedbi: kontekst, cena, regija, licenca, jeziki, gostovanje in kaj je preverjeno.

NVIDIA Nemotron 3 Nano 4BNVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning
Ponudnik NVIDIANVIDIA
Parametri 3.97B33B
Kontekstno okno 262kNi preverjeno: ponudnik te trditve ni dokumentiral.
Licenca otherother
Modalnosti texttext, vision, audio
Datum izdaje 07. mar. 202620. apr. 2026
Jeziki Močno: en
Zadostno: —		Ni preverjeno: ponudnik te trditve ni dokumentiral.
Odprte uteži dada
Naloge Nizki stroški, Razmišljanje, Pridobivanje (RAG), PovzemanjeRazmišljanje, Vid, Večjezična podpora

Kjer se dva modela razlikujeta, ta tabela pokaže razliko in se ustavi. LLM EU ne objavi značke zmagovalca brez dokumentirane ocene za to nalogo, manjkajoča številka pa ostane manjkajoča, namesto da bi postala nič.

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NVIDIA Nemotron 3 Nano 4B

Prednosti

  • long context for a 4B model
  • high published maths scores for its size
  • runs on a single small accelerator

Omejitve

  • English only, per the model card
  • vendor licence rather than an OSI one
  • benchmark figures come from NVIDIA’s own harness

Naloge

Nizki stroški, Razmišljanje, Pridobivanje (RAG), Povzemanje

NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning

Prednosti

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • instruction-tuned checkpoint with a chat template in the repository
  • speech recognition runs locally, so audio never leaves the operator premises

Omejitve

  • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
  • no evaluation has been run by LLM EU
  • the nvidia-open-model-agreement (other) licence is a custom agreement whose commercial terms were not established from its published text, so commercial serving is not permitted until a human clears it; the router must not route to it
  • the published configuration records no context window, so the card carries none
  • at 33B parameters, self-hosting needs a high-memory accelerator
  • vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

Naloge

Razmišljanje, Vid, Večjezična podpora

Naloge: Razmišljanje

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