Title: NVIDIA Nemotron 3 Nano 4B vs NVIDIA Nemotron 3 Nano 30B %E2%80%94 LLM EU
Canonical: https://llmeu.com/pt/compare/nemotron-3-nano-4b-vs-nemotron-3-nano-30b-a3b/
Markdown mirror: https://llmeu.com/pt/compare/nemotron-3-nano-4b-vs-nemotron-3-nano-30b-a3b.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# NVIDIA Nemotron 3 Nano 4B vs NVIDIA Nemotron 3 Nano 30B-A3B

Coloque dois a quatro modelos lado a lado nos campos que decidem uma implementa%C3%A7%C3%A3o: contexto, pre%C3%A7o, regi%C3%A3o, licen%C3%A7a, idiomas, alojamento e o que est%C3%A1 verificado.

Onde dois modelos diferem, esta tabela mostra a diferen%C3%A7a e para. A LLM EU n%C3%A3o publica um selo de vencedor sem uma pontua%C3%A7%C3%A3o documentada para essa tarefa, e um valor em falta permanece em falta em vez de se tornar zero.

## Quando usar

### [NVIDIA Nemotron 3 Nano 4B](/pt/models/nemotron-3-nano-4b/)

#### Pontos fortes

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

#### Limita%C3%A7%C3%B5es

- English only, per the model card
- vendor licence rather than an OSI one
- benchmark figures come from NVIDIA%E2%80%99s own harness

#### Tarefas

[Baixo custo](/pt/tasks/cheap/), [Racioc%C3%ADnio](/pt/tasks/reasoning/), [Recupera%C3%A7%C3%A3o (RAG)](/pt/tasks/rag/), [Sumariza%C3%A7%C3%A3o](/pt/tasks/summarization/)

### [NVIDIA Nemotron 3 Nano 30B-A3B](/pt/models/nemotron-3-nano-30b-a3b/)

#### Pontos fortes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- the model page lists 5 languages the European Union publishes in, including en, es, fr, de

#### Limita%C3%A7%C3%B5es

- catalogue only %E2%80%94 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-nemotron-open-model-license (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 31.6B parameters, self-hosting needs a high-memory accelerator

#### Tarefas

[Racioc%C3%ADnio](/pt/tasks/reasoning/), [Baixo custo](/pt/tasks/cheap/), [Suporte multilingue](/pt/tasks/multilingual-support/)

**Tarefas:** [Baixo custo](/pt/tasks/cheap/), [Racioc%C3%ADnio](/pt/tasks/reasoning/)

## Comparar modelos

- [Blip2 Opt 2.7B vs NVIDIA Nemotron 3 Nano 4B](/pt/compare/blip2-opt-2-7b-vs-nemotron-3-nano-4b/)
- [Command R (08-2024) vs NVIDIA Nemotron 3 Nano 30B-A3B](/pt/compare/command-r-08-2024-vs-nemotron-3-nano-30b-a3b/)
- [NVIDIA Cosmos Reason2 2B vs NVIDIA Nemotron 3 Nano 4B](/pt/compare/cosmos-reason2-2b-vs-nemotron-3-nano-4b/)
- [Deepseek Coder 7B Instruct V1.5 vs NVIDIA Nemotron 3 Nano 4B](/pt/compare/deepseek-coder-7b-instruct-v1-5-vs-nemotron-3-nano-4b/)
- [DeepSeek OCR 2 vs NVIDIA Nemotron 3 Nano 4B](/pt/compare/deepseek-ocr-2-vs-nemotron-3-nano-4b/)
- [DeepSeek OCR vs NVIDIA Nemotron 3 Nano 4B](/pt/compare/deepseek-ocr-vs-nemotron-3-nano-4b/)