Title: DeepSeek V3.1 vs DeepSeek-V3.2: Parametre, Licens %E2%80%94 LLM EU
Canonical: https://llmeu.com/da/compare/deepseek-v3-1-vs-deepseek-v3-2/
Markdown mirror: https://llmeu.com/da/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

S%C3%A6t to til fire modeller side om side p%C3%A5 de felter, der afg%C3%B8r en udrulning: kontekst, pris, region, licens, sprog, hosting og hvad der er verificeret.

Hvor to modeller adskiller sig, viser denne tabel forskellen og stopper. LLM EU offentligg%C3%B8r ikke et vinderbadge uden en dokumenteret score for den opgave, og et manglende tal forbliver manglende i stedet for at blive et nul.

## Hvorn%C3%A5r man bruger den

### [DeepSeek V3.1](/da/models/deepseek-v3-1/)

#### Styrker

- 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

#### Begr%C3%A6nsninger

- 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

#### Opgaver

[R%C3%A6sonnement](/da/tasks/reasoning/), [Kodning](/da/tasks/coding/)

### [DeepSeek-V3.2](/da/models/deepseek-v3-2/)

#### Styrker

- MIT licence
- sparse attention aimed at lower long-context inference cost
- 163,840-token configuration maximum

#### Begr%C3%A6nsninger

- 685B parameters: full-precision serving needs several nodes
- vendor efficiency claims are not independently reproduced here
- no evaluation has been run by LLM EU

#### Opgaver

[R%C3%A6sonnement](/da/tasks/reasoning/), [Kodning](/da/tasks/coding/), [Resum%C3%A9](/da/tasks/summarization/), [Genfinding (RAG)](/da/tasks/rag/)

**Opgaver:** [R%C3%A6sonnement](/da/tasks/reasoning/), [Kodning](/da/tasks/coding/)

## Sammenlign modeller

- [DeepSeek R1 0528 vs DeepSeek V3.1](/da/compare/deepseek-r1-0528-vs-deepseek-v3-1/)
- [DeepSeek-R1 vs DeepSeek V3.1](/da/compare/deepseek-r1-vs-deepseek-v3-1/)
- [DeepSeek V3 0324 vs DeepSeek V3.1](/da/compare/deepseek-v3-0324-vs-deepseek-v3-1/)
- [DeepSeek V3.1 vs DeepSeek V4.1 Flash](/da/compare/deepseek-v3-1-vs-deepseek-v4-1-flash/)
- [DeepSeek V3.1 vs GLM 4.5](/da/compare/deepseek-v3-1-vs-glm-4-5/)
- [DeepSeek V3.1 vs GLM 4.6](/da/compare/deepseek-v3-1-vs-glm-4-6/)