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DeepSeek-V4.1-Flash

2 stories mentioning DeepSeek-V4.1-Flash, newest first, each with its sources and discussion. Follow to see new ones on your front page.

At a glance

Made by
DeepSeek
Announced
11 September 2026
Type
multimodal model
Availability
as open weights you can download and run
License
MIT License
Context window
1M tokens

2 releases or versions tracked; the newest is shown. Full model tracker →

  1. Research new

    Princeton researcher proposes RLT architecture for unbounded temporal depth in LLMs

    Yifan Zhang from Princeton has released a technical report introducing the Recurrent Looped Transformer (RLT), a new architectural design for decoder-only large language models. Unlike standard transformers where…

    1 source
    MarkTechPost
  2. DeepSeek releases V4.1-Flash with 1M context and MIT license

    DeepSeek AI has released DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts model designed to address the memory bottlenecks of long-horizon agent workloads. The model features a 552B parameter backbone with 196B…

    5 sources primary source
    github.comUnite.AIbing.comThe Decoder +1 more

Questions about DeepSeek-V4.1-Flash

Who makes DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash is made by DeepSeek.

When was DeepSeek-V4.1-Flash released?

DeepSeek-V4.1-Flash was announced on 11 September 2026, according to 1 source covered by Digest AI.

Is DeepSeek-V4.1-Flash open source, and how can I use it?

DeepSeek-V4.1-Flash is available as open weights you can download and run under the MIT License license, with a context window of 1M tokens.

What is the latest news about DeepSeek-V4.1-Flash?

Princeton researcher proposes RLT architecture for unbounded temporal depth in LLMs (13 September 2026).

Other models from DeepSeek
V4.1 FlashV4.1-Flash