Models

DeepSeek V4.1 Flash

DeepSeek

Catalogue only Open weights

Last reviewed:

Sovereignty and hosting

Catalogue only

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