Title: DeepSeek V3.1 vs DeepSeek-V3.2: Parametri, Licenza %E2%80%94 LLM EU Canonical: https://llmeu.com/it/compare/deepseek-v3-1-vs-deepseek-v3-2/ Markdown mirror: https://llmeu.com/it/compare/deepseek-v3-1-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 V3.1 vs DeepSeek-V3.2 Metti da due a quattro modelli a confronto sui campi che decidono un deployment: contesto, prezzo, regione, licenza, lingue, hosting e ci%C3%B2 che %C3%A8 verificato. Dove due modelli differiscono, questa tabella mostra la differenza e si ferma. LLM EU non pubblica alcun badge di vincitore senza un punteggio documentato per quell'attivit%C3%A0, e una cifra mancante rimane mancante invece di diventare zero. ## Quando usarlo ### [DeepSeek V3.1](/it/models/deepseek-v3-1/) #### Punti di forza - 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 #### Limiti - 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 #### Attivit%C3%A0 [Ragionamento](/it/tasks/reasoning/), [Codifica](/it/tasks/coding/) ### [DeepSeek-V3.2](/it/models/deepseek-v3-2/) #### Punti di forza - MIT licence - sparse attention aimed at lower long-context inference cost - 163,840-token configuration maximum #### Limiti - 685B parameters: full-precision serving needs several nodes - vendor efficiency claims are not independently reproduced here - no evaluation has been run by LLM EU #### Attivit%C3%A0 [Ragionamento](/it/tasks/reasoning/), [Codifica](/it/tasks/coding/), [Riassunto](/it/tasks/summarization/), [Recupero (RAG)](/it/tasks/rag/) **Attivit%C3%A0:** [Ragionamento](/it/tasks/reasoning/), [Codifica](/it/tasks/coding/) ## Confronta modelli - [DeepSeek R1 0528 vs DeepSeek V3.1](/it/compare/deepseek-r1-0528-vs-deepseek-v3-1/) - [DeepSeek-R1 vs DeepSeek V3.1](/it/compare/deepseek-r1-vs-deepseek-v3-1/) - [DeepSeek V3 0324 vs DeepSeek V3.1](/it/compare/deepseek-v3-0324-vs-deepseek-v3-1/) - [DeepSeek V3.1 vs DeepSeek V4.1 Flash](/it/compare/deepseek-v3-1-vs-deepseek-v4-1-flash/) - [DeepSeek V3.1 vs GLM 4.5](/it/compare/deepseek-v3-1-vs-glm-4-5/) - [DeepSeek V3.1 vs GLM 4.6](/it/compare/deepseek-v3-1-vs-glm-4-6/)