Comparer
NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning vs NVIDIA Nemotron 3 Super 120B-A12B
Placez deux à quatre modèles côte à côte sur les champs qui décident un déploiement : contexte, prix, région, licence, langues, hébergement et ce qui est vérifié.
| NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning | NVIDIA Nemotron 3 Super 120B-A12B | |
|---|---|---|
| Fournisseur | NVIDIA | NVIDIA |
| Paramètres | 33B | 123.61B |
| Fenêtre de contexte | Non vérifié : le fournisseur n'a pas documenté cette affirmation. | 262k |
| Licence | other | other |
| Modalités | text, vision, audio | text |
| Date de publication | 20 avr. 2026 | 10 mars 2026 |
| Langues | Non vérifié : le fournisseur n'a pas documenté cette affirmation. | Solide: en, fr, es, it, de Correct: ja, zh |
| Poids ouverts | oui | oui |
| Tâches | Raisonnement, Vision, Support multilingue | Raisonnement, Codage, Récupération (RAG), Résumés |
Lorsque deux modèles diffèrent, ce tableau montre la différence et s'arrête là. LLM EU ne publie aucun badge de gagnant sans score documenté pour cette tâche, et une valeur manquante reste manquante au lieu de devenir un zéro.
Quand l'utiliser
NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning
Points forts
- 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
Limites
- 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
Tâches
NVIDIA Nemotron 3 Super 120B-A12B
Points forts
- 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
Limites
- 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
Tâches
Tâches: Raisonnement
Comparer des modèles
Comparer des modèles →- Command A+ (05-2026) vs NVIDIA Nemotron 3 Super 120B-A12B
- Command R (08-2024) vs NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning
- DeepSeek-R1-Distill-Qwen-32B vs NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning
- Devstral Small 2 (24B) vs NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning
- Diffusiongemma 26B A4B It vs NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning
- ERNIE 4.5 21B-A3B Thinking vs NVIDIA Nemotron 3 Nano Omni 30B-A3B Reasoning