Title: DeepSeek V3 0324 vs DeepSeek-V3.2: Paraim%C3%A9adair %E2%80%94 LLM EU
Canonical: https://llmeu.com/ga/compare/deepseek-v3-0324-vs-deepseek-v3-2/
Markdown mirror: https://llmeu.com/ga/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

Cuir dh%C3%A1 n%C3%B3 ceithre mh%C3%BAnla i gcompar%C3%A1id ar na r%C3%A9ims%C3%AD a chinneann imscaradh: comhth%C3%A9acs, praghas, r%C3%A9igi%C3%BAn, cead%C3%BAnas, teangacha, %C3%B3st%C3%A1il, agus cad at%C3%A1 f%C3%ADoraithe.

Nuair a bh%C3%ADonn dh%C3%A1 mh%C3%BAnla difri%C3%BAil, taispe%C3%A1nann an t%C3%A1bla seo an difr%C3%ADocht agus stopann s%C3%A9. N%C3%AD fhoils%C3%ADonn LLM EU suaitheantas buaiteora gan sc%C3%B3r doicim%C3%A9adaithe don tasc sin, agus fanann figi%C3%BAr at%C3%A1 ar iarraidh ar iarraidh seachas a bheith ina nialas.

## Cathain a %C3%BAs%C3%A1idtear %C3%A9

### [DeepSeek V3 0324](/ga/models/deepseek-v3-0324/)

#### L%C3%A1idreachta%C3%AD

- 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

#### Teorainneacha

- 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

#### Tascanna

[R%C3%A9as%C3%BAna%C3%ADocht](/ga/tasks/reasoning/), [C%C3%B3d%C3%BA](/ga/tasks/coding/)

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

#### L%C3%A1idreachta%C3%AD

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

#### Teorainneacha

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

#### Tascanna

[R%C3%A9as%C3%BAna%C3%ADocht](/ga/tasks/reasoning/), [C%C3%B3d%C3%BA](/ga/tasks/coding/), [Achoimri%C3%BA](/ga/tasks/summarization/), [Aisghabh%C3%A1il (RAG)](/ga/tasks/rag/)

**Tascanna:** [R%C3%A9as%C3%BAna%C3%ADocht](/ga/tasks/reasoning/), [C%C3%B3d%C3%BA](/ga/tasks/coding/)

## Cuir m%C3%BAnla%C3%AD i gcompar%C3%A1id

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