# DeepSeek Releases V4-Flash, a Fast MIT-Licensed MoE Model

> The new Mixture of Experts model from the Beijing-based AI lab is optimized for fast, efficient conversational AI and carries a fully permissive license.

Published by The Open Weights on Apr 22, 2026. Canonical: https://theopenweights.com/news/deepseek-v4-flash-m3ve

## Key facts

- Company: DeepSeek
- Model: DeepSeek V4.1 Flash
- Version: V4-Flash
- Category: Text / LLM
- Modalities: Text / LLM, Reasoning
- License: MIT (Open weights, commercial use allowed)
- Active parameters: 13B
- Context window: 1.0M tokens
- Architecture: DeepseekV4ForCausalLM
- Precision: INT8
- Weights size: 292.5 GB
- Significance: major
- Published: 2026-04-22
- Last verified: 2026-07-31
- Hugging Face: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash
- Canonical URL: https://theopenweights.com/news/deepseek-v4-flash-m3ve

AI research lab DeepSeek has released DeepSeek-V4-Flash, a new open-source model designed for speed and efficiency in conversational tasks. This release continues the company's track record of publishing capable models for the open-source community.

The model's name points to its primary strengths. As a Mixture-of-Experts (MoE) architecture, it activates only a subset of its parameters for any given input, leading to faster inference times. The 'Flash' designation is further supported by its use of FP8 weights, a form of quantization that reduces the model's memory footprint and computational cost.

Perhaps most notable is the choice of license. DeepSeek-V4-Flash is released under the MIT License, one of the most permissive open-source licenses available. This allows for unrestricted use, modification, and distribution, including for commercial purposes, removing a significant barrier to adoption for many startups and enterprises.

Why it matters: The combination of an efficient MoE architecture and a truly open, commercially friendly license makes DeepSeek-V4-Flash a compelling choice for developers building real-time, interactive AI applications. For teams prioritizing low latency without compromising on conversational quality, this model presents a significant new option in the open-source landscape. The full model weights are [available on Hugging Face](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash).

## Get the model

- [Hugging Face](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash)
- [Hugging Face](https://huggingface.co/unsloth/DeepSeek-V4-Flash-GGUF)

## Sources

- [deepseek-ai/DeepSeek-V4-Flash](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash) — Hugging Face, Apr 22, 2026
- [unsloth/DeepSeek-V4-Flash-GGUF](https://huggingface.co/unsloth/DeepSeek-V4-Flash-GGUF) — Hugging Face, Jul 6, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "DeepSeek Releases V4-Flash, a Fast MIT-Licensed MoE Model", The Open Weights, Apr 22, 2026, https://theopenweights.com/news/deepseek-v4-flash-m3ve