Title: DeepSeek V4 Flash vs DeepSeek V4.1 Flash: Param%C3%A8tres %E2%80%94 LLM EU
Canonical: https://llmeu.com/fr/compare/deepseek-v4-flash-vs-deepseek-v4-1-flash/
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# DeepSeek V4 Flash vs DeepSeek V4.1 Flash

Placez deux %C3%A0 quatre mod%C3%A8les c%C3%B4te %C3%A0 c%C3%B4te sur les champs qui d%C3%A9cident un d%C3%A9ploiement : contexte, prix, r%C3%A9gion, licence, langues, h%C3%A9bergement et ce qui est v%C3%A9rifi%C3%A9.

Lorsque deux mod%C3%A8les diff%C3%A8rent, ce tableau montre la diff%C3%A9rence et s'arr%C3%AAte l%C3%A0. LLM EU ne publie aucun badge de gagnant sans score document%C3%A9 pour cette t%C3%A2che, et une valeur manquante reste manquante au lieu de devenir un z%C3%A9ro.

## Quand l'utiliser

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

#### Points forts

- 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

#### Limites

- 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 290.9B parameters, self-hosting needs multiple high-memory accelerators

#### T%C3%A2ches

[Raisonnement](/fr/tasks/reasoning/), [Codage](/fr/tasks/coding/), [Faible co%C3%BBt](/fr/tasks/cheap/)

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

#### Points forts

- 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

#### Limites

- 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

#### T%C3%A2ches

[Raisonnement](/fr/tasks/reasoning/), [Codage](/fr/tasks/coding/), [Vision](/fr/tasks/vision/)

**T%C3%A2ches:** [Raisonnement](/fr/tasks/reasoning/), [Codage](/fr/tasks/coding/)

## Comparer des mod%C3%A8les

- [DeepSeek R1 0528 vs DeepSeek V4.1 Flash](/fr/compare/deepseek-r1-0528-vs-deepseek-v4-1-flash/)
- [DeepSeek-R1 vs DeepSeek V4.1 Flash](/fr/compare/deepseek-r1-vs-deepseek-v4-1-flash/)
- [DeepSeek V3 0324 vs DeepSeek V4.1 Flash](/fr/compare/deepseek-v3-0324-vs-deepseek-v4-1-flash/)
- [DeepSeek V3.1 vs DeepSeek V4.1 Flash](/fr/compare/deepseek-v3-1-vs-deepseek-v4-1-flash/)
- [DeepSeek-V3.2 vs DeepSeek V4.1 Flash](/fr/compare/deepseek-v3-2-vs-deepseek-v4-1-flash/)
- [DeepSeek V4.1 Flash vs GLM 5](/fr/compare/deepseek-v4-1-flash-vs-glm-5/)