Title: DeepSeek-V4-Flash vs DeepSeek V4.1 Flash: Par%C3%A2metros %E2%80%94 LLM EU
Canonical: https://llmeu.com/pt/compare/deepseek-v4-flash-0731-vs-deepseek-v4-1-flash/
Markdown mirror: https://llmeu.com/pt/compare/deepseek-v4-flash-0731-vs-deepseek-v4-1-flash.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# DeepSeek-V4-Flash (0731) vs DeepSeek V4.1 Flash

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

### [DeepSeek-V4-Flash (0731)](/pt/models/deepseek-v4-flash-0731/)

#### Pontos fortes

- MIT licence with no user threshold or field-of-use restriction
- 1M-token context window
- three reasoning-effort levels for latency control
- vendor reports it beats its own larger preview model on published benchmarks

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

- 304B parameters require a multi-GPU node even at reduced precision
- all benchmark claims are self-reported by DeepSeek
- no evaluation has been run by LLM EU

#### Tarefas

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

### [DeepSeek V4.1 Flash](/pt/models/deepseek-v4-1-flash/)

#### Pontos fortes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement

#### 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 published configuration records no context window, so the card carries none
- at 763.2B parameters, self-hosting needs a multi-node deployment rather than a single server
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

#### Tarefas

[Racioc%C3%ADnio](/pt/tasks/reasoning/), [Codifica%C3%A7%C3%A3o](/pt/tasks/coding/), [Vis%C3%A3o](/pt/tasks/vision/)

**Tarefas:** [Racioc%C3%ADnio](/pt/tasks/reasoning/), [Codifica%C3%A7%C3%A3o](/pt/tasks/coding/)

## Comparar modelos

- [Command A+ (05-2026) vs DeepSeek-V4-Flash (0731)](/pt/compare/command-a-plus-05-2026-vs-deepseek-v4-flash-0731/)
- [DeepSeek R1 0528 vs DeepSeek V4.1 Flash](/pt/compare/deepseek-r1-0528-vs-deepseek-v4-1-flash/)
- [DeepSeek-R1 vs DeepSeek V4.1 Flash](/pt/compare/deepseek-r1-vs-deepseek-v4-1-flash/)
- [DeepSeek V3 0324 vs DeepSeek V4.1 Flash](/pt/compare/deepseek-v3-0324-vs-deepseek-v4-1-flash/)
- [DeepSeek V3.1 vs DeepSeek V4.1 Flash](/pt/compare/deepseek-v3-1-vs-deepseek-v4-1-flash/)
- [DeepSeek-V3.2 vs DeepSeek V4.1 Flash](/pt/compare/deepseek-v3-2-vs-deepseek-v4-1-flash/)