# DeepSeek-V4.1-Flash: a 552B multimodal MoE with a quarter of the KV cache

> OnPrem World · https://onpremworld.com/en/news/2026-09-deepseek-v4-1-flash · CC BY 4.0

Published: 2026-09-10 · Models

DeepSeek released V4.1-Flash on September 10, with open weights on Hugging Face under the MIT licence. It is a 552B-parameter mixture-of-experts model that understands images natively and activates about 8B parameters per token while reading the prompt and 16B while generating. A new causal encoder-decoder layout and a second version of DeepSeek's compressed sparse attention cut the KV cache per token to about a quarter of V4-Flash's, with contexts of up to one million tokens.

## Why it matters locally

Long contexts become cheap, but the 552B backbone alone exceeds 256 GB at 4 bits, so local use means a 512 GB Mac Studio or a multi-GPU server; vLLM added support in v0.30.0 on September 22.

## Source

[DeepSeek-V4.1-Flash model card (Hugging Face)](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash)

## On this site

- Models: [DeepSeek-V4-Flash](https://onpremworld.com/en/models/deepseek-v4-flash.md)

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