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Model · multimodal model

DeepSeek-V4.1-Flash

DeepSeek‑V4.1‑Flash is a large language model released by DeepSeek with a 1‑million token context window and an MIT license, targeting cost‑effective long‑running agentic applications. Recent headlines note its superior performance on design tasks compared to GPT‑6 Astra at lower cost, its 1M context advantage, and its relevance to new evaluation standards and research on unbounded temporal depth.

DeepSeek-V4.1-Flash is a multimodal model from DeepSeek, first covered on 10 September 2026. It is available as open weights you can download and run (licence: MIT License). Its context window is 1M tokens.

Last updated

At a glance

Made by
DeepSeek
Type
Multimodal model
Availability
Open weights
Licence
MIT License
Context window
1M tokens
First seen
10 September 2026

Taken from the coverage, not from our own testing; "not stated" means none of the reports we read gave it. All tracked models →

4 stories about DeepSeek-V4.1-Flash

  1. Hardware & Compute new

    Engram offloading boosts DeepSeek-V4.1-Flash performance on B300 by up to 1.6x

    The SemiAnalysis report describes Engram, a token‑embedding extension that stores recurring patterns in a lookup table. By moving the Engram table—about 24 rows per layer, roughly 12.4 KiB per token position (3.1 KiB…

    1 source
    SemiAnalysis
  2. Policy & Regulation new

    Anthropic and OpenAI say they will embed third‑party safety evaluators with employee‑like access

    Anthropic CEO Dario Amodei announced a plan to embed third‑party evaluators inside frontier AI labs, granting them ongoing, employee‑like access to systems, training checkpoints and the ability to publish safety…

    6 sources
    CNBC TechnologyTechCrunch AIcnbctv18.compulse2.com +1 more
  3. 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
  4. 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…

    6 sources primary source
    KDnuggetsgithub.comUnite.AIfinance.yahoo.com +2 more