DeepSeek V4.1 Flash
Last reviewed:
Sovereignty and hosting
This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.
Summary
DeepSeek V4.1 Flash is published by DeepSeek as open weights with 763.2B parameters under MIT. The repository was created in September 2026 and is mirrored on Hugging Face. It accepts text and images and answers in text. It is a base checkpoint without instruction tuning. The published configuration records no context window, so this card carries none. The card is catalogue-only: LLM EU does not run this model. The publisher states no language coverage on the model page.
Specifications
- Provider
- DeepSeek (CN)
- Context window
- Not verified: the provider has not documented this claim.
- Parameters
- 763.2B
- Modalities
- text, vision
- License
- mit · licence
- Open weights
- yes
- Release date
- 10 Sept 2026
- Tasks
- Reasoning, Coding, Vision
Languages
Strong: —
Adequate: —
Strong
Adequate
Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
When to use it
Strengths
- 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
Limits
- catalogue only — 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