# DeepSeek V4.1 Flash — weights, license and what is actually open

A downloadable DeepSeek multimodal Flash model, with sparse activation that differs between prompt processing and generation.

Canonical: https://brightaifuture.com/open-models/deepseek
Format: model-family
Source publication: Not established
Bright publication: 2026-09-19
Substantive update: None recorded
Evidence and review: AI-assisted primary-source check on 2026-09-19; no independent model reproduction or license certification. No independent evaluation is attached to this record.

## Documented release

DeepSeek-V4.1-Flash

Organization: DeepSeek

DeepSeek API availability and new pricing: 2026-09-10 (day precision). Source: https://api-docs.deepseek.com/news/news260910/

The cited event establishes API availability and pricing on this date; it does not independently timestamp the weight upload.

Parameters: 552B backbone; 8B active in prefill / 16B in decode. Hugging Face displays 763B in model files; no single total-storage estimate is asserted.

Architecture: Sparse mixture-of-experts multimodal transformer; 8B active during prefill and 16B during decoding.

Modalities: text, image

Context: 1M tokens

## License and commercial use

MIT

Permitted by the MIT license.

## What is open

Weights: available. Official weights are downloadable. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Architecture: available. The model card documents the sparse architecture and activation behavior. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Inference code: available. Official prompt encoding and inference examples are provided. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Training code: not-established. Complete pre-training and post-training code was not confirmed. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Training recipe: partial. The release explains major techniques but is not an end-to-end reproducible recipe. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Data information: partial. Some training approach information is disclosed without a complete corpus inventory. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Training data: not-established. No sufficiently specific public artifact was confirmed in this review. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Evaluation: available. Evaluation reproduction instructions are included with the release. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

Commercial use: available. The official checkpoint is MIT-licensed. Source: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash

## Uses and strengths described in sources

Long context

Multimodal input

Sparse inference

## Hardware and quantization

No reliable universal minimum is stated; the very large checkpoint requires distributed or aggressively quantized serving.

Official and community formats should be verified against the model card before use

## Independent evidence

No independent evaluation is attached to this record.

## Limitations

Displayed file size and stated backbone parameter count differ

Training corpus is not released

## Provenance and history

{}

## Original sources

- [DeepSeek V4.1 Flash announcement](https://api-docs.deepseek.com/news/news260910/)
- [DeepSeek-V4.1-Flash model card](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash)

## Continue exploring

- [Open Models](https://brightaifuture.com/open-models)
- [Open intelligence thread](https://brightaifuture.com/threads/open)