Sammenlign
NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning vs NVIDIA Nemotron 3 Super 120B-A12B
Sæt to til fire modeller side om side på de felter, der afgør en udrulning: kontekst, pris, region, licens, sprog, hosting og hvad der er verificeret.
| NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning | NVIDIA Nemotron 3 Super 120B-A12B | |
|---|---|---|
| Udbyder | NVIDIA | NVIDIA |
| Parametre | 33B | 123.61B |
| Kontekstvindue | Ikke verificeret: udbyderen har ikke dokumenteret denne påstand. | 262k |
| Licens | other | other |
| Modaliteter | text, vision, audio | text |
| Udgivelsesdato | 20. apr. 2026 | 10. mar. 2026 |
| Sprog | Ikke verificeret: udbyderen har ikke dokumenteret denne påstand. | Stærk: en, fr, es, it, de Tilstrækkelig: ja, zh |
| Åbne vægte | ja | ja |
| Opgaver | Ræsonnement, Vision, Flersproget support | Ræsonnement, Kodning, Genfinding (RAG), Resumé |
Hvor to modeller adskiller sig, viser denne tabel forskellen og stopper. LLM EU offentliggør ikke et vinderbadge uden en dokumenteret score for den opgave, og et manglende tal forbliver manglende i stedet for at blive et nul.
Hvornår man bruger den
NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning
Styrker
- 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
Begrænsninger
- 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
Opgaver
NVIDIA Nemotron 3 Super 120B-A12B
Styrker
- strong published long-context scores up to 1M tokens
- 12B active parameters keep inference cost below the total size
- inference and agentic benchmark tables published with harness links
- source-available vendor licence with published evaluation tooling
Begrænsninger
- NVIDIA Nemotron Open Model License, a vendor licence rather than an OSI one
- seven declared languages, fewer than the European-focused models
- long-context scores come from NVIDIA’s own harness
Opgaver
Opgaver: Ræsonnement
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