Title: DeepSeek V3 0324 vs DeepSeek-V3.2: Par%C3%A2metros, Licen%C3%A7a %E2%80%94 LLM EU Canonical: https://llmeu.com/pt/compare/deepseek-v3-0324-vs-deepseek-v3-2/ Markdown mirror: https://llmeu.com/pt/compare/deepseek-v3-0324-vs-deepseek-v3-2.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # DeepSeek V3 0324 vs DeepSeek-V3.2 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 V3 0324](/pt/models/deepseek-v3-0324/) #### 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 684.5B parameters, self-hosting needs a multi-node deployment rather than a single server #### Tarefas [Racioc%C3%ADnio](/pt/tasks/reasoning/), [Codifica%C3%A7%C3%A3o](/pt/tasks/coding/) ### [DeepSeek-V3.2](/pt/models/deepseek-v3-2/) #### Pontos fortes - MIT licence - sparse attention aimed at lower long-context inference cost - 163,840-token configuration maximum #### Limita%C3%A7%C3%B5es - 685B parameters: full-precision serving needs several nodes - vendor efficiency claims are not independently reproduced here - 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/) **Tarefas:** [Racioc%C3%ADnio](/pt/tasks/reasoning/), [Codifica%C3%A7%C3%A3o](/pt/tasks/coding/) ## Comparar modelos - [DeepSeek R1 0528 vs DeepSeek V3 0324](/pt/compare/deepseek-r1-0528-vs-deepseek-v3-0324/) - [DeepSeek-R1 vs DeepSeek V3 0324](/pt/compare/deepseek-r1-vs-deepseek-v3-0324/) - [DeepSeek V3 0324 vs DeepSeek V3.1](/pt/compare/deepseek-v3-0324-vs-deepseek-v3-1/) - [DeepSeek V3 0324 vs DeepSeek V4.1 Flash](/pt/compare/deepseek-v3-0324-vs-deepseek-v4-1-flash/) - [DeepSeek V3 0324 vs GLM 4.5](/pt/compare/deepseek-v3-0324-vs-glm-4-5/) - [DeepSeek V3 0324 vs GLM 4.6](/pt/compare/deepseek-v3-0324-vs-glm-4-6/)