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Tuesday

  3. Huxiu

    DeepSeek Completes Nearly 100 Billion Yuan Financing at a Pre-Money Valuation of 500 Billion Yuan

    DeepSeek's new financing round has closed, with fundraising guaranteed at 80 billion yuan and ultimately expected to approach 100 billion yuan, while the pre-money valuation remains at 500 billion yuan; founder Liang Wenfeng personally contributed about 20 billion yuan. In the first seven months of 2026, the company's revenue was 475 million yuan, with a net loss of 715 million yuan, and the API business gross margin was 82.9%. The funds are mainly directed toward a GW-level intelligent computing center in Ulanqab, Inner Mongolia, where the company plans to deploy 160,000 Huawei Ascend 950DT chips; the company plans to submit a prospectus by the end of 2026 and list on the STAR Market in 2027.

    DeepSeek's new financing round has closed, with fundraising guaranteed at 80 billion yuan and ultimately expected to approach 100 billion yuan, while the pre-money valuation remains at 500 billion yuan; founder Liang Wenfeng personally contributed about 20 billion yuan. In the first seven months of 2026, the company's revenue was 475 million yuan, with a net loss of 715 million yuan, and the API business gross margin was 82.9%. The funds are mainly directed toward a GW-level intelligent computin

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    #hot-signal#Industry news#DeepSeek#English text is being prepared.

Monday

  2. ArenaSelected

    DeepSeek-V4.1-Flash-20261017 Tops the Code Arena WebDev Open-Source Model Leaderboard

    Arena says DeepSeek-V4.1-Flash-20261017 (Max) has become the top-ranked open-source model on the Code Arena WebDev leaderboard, surpassing Kimi K3 (Max) at 10 times lower cost. The model ranks 12th overall with 1,670 points, above Claude Opus 5 (High) and about 10 points behind GPT-6 Sol (Max); it is priced at $0.3/$1.2 per million input/output tokens, a 52-point improvement over the previous version DeepSeek-V4.1-Flash-20260910.

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    #editorial#Evaluations / benchmarks#Open-source ecosystem#DeepSeek

Sunday

  1. Alibaba Cloud Developer Community AI

    Codex Chinese Version + DeepSeek-V4.1-Flash-1017: Generate a Four-Quadrant Sticky Note App from a Single Sentence and Upload It to GitHub

    The author used the Chinese-localized version of Codex, DeepSeek-V4.1-Flash-1017, and the Hermes agent to generate a four-quadrant sticky note app from a single prompt and automatically upload and publish it to GitHub. The finished product supports Chinese and English, a time capsule, free resizing of sticky notes, and local saving, and is packaged as a single-file portable app; the first version generated a static index.html in about six or seven minutes, and later iterations changed it to a sticky-note format. The whole process cost a little over four yuan.

    The author used the Chinese-localized version of Codex, DeepSeek-V4.1-Flash-1017, and the Hermes agent to generate a four-quadrant sticky note app from a single prompt and automatically upload and publish it to GitHub. The finished product supports Chinese and English, a time capsule, free resizing of sticky notes, and local saving, and is packaged as a single-file portable app; the first version generated a static index.html in about six or seven minutes, and later iterations changed it to a st

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    #hot-signal#Tutorials / practice#English text is being prepared.#Agents
  6. Shao Meng

    WorkBuddy International Edition Launches DeepSeek-V4.1-Flash-1017 with Free Access Until October 31

    WorkBuddy has announced that its international edition has been updated to DeepSeek-V4.1-Flash-1017 and is available free of charge for a limited time until October 31. This free-access promotion applies only to the international edition; the domestic edition has not yet launched a corresponding free-access promotion.

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    #hot-signal#Industry news#DeepSeek#Product updates

Saturday

  1. ZhidongxiSelected

    DeepSeek V4.1-Flash updated to V4.1-Flash-1017 and opens search and fetch APIs

    DeepSeek V4.1-Flash has been updated to version V4.1-Flash-1017; the official web, App and API have been updated in sync, and the model weights are available for download on HuggingFace and ModelScope. In the DeepSWE v1.1 test, the new model's max tier achieved a single-task pass rate of 77.0%, 2.8 percentage points higher than the previous version, and the average cost per task dropped from about 3.3 yuan to about 1.3 yuan. DeepSeek also opened to the public the Search and Fetch APIs of its self-developed search engine; both interfaces are priced at 5 yuan per thousand calls, and this part of access via server-side tool calls will be charged per call starting from 00:00 Beijing time on November 1.

    DeepSeek V4.1-Flash has been updated to version V4.1-Flash-1017; the official web, App and API have been updated in sync, and the model weights are available for download on HuggingFace and ModelScope. In the DeepSWE v1.1 test, the new model's max tier achieved a single-task pass rate of 77.0%, 2.8 percentage points higher than the previous version, and the average cost per task dropped from about 3.3 yuan to about 1.3 yuan. DeepSeek also opened to the public the Search and Fetch APIs of its sel

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    #hot-signal#Model releases#Open-source ecosystem#English text is being prepared.
  3. Tianyi CuiSelected

    DeepSeek-V4.1-Flash-1017 Released, Requires Upgrading to DeepSeek Harness 0.2.1-rc.1

    DeepSeek has released DeepSeek-V4.1-Flash-1017, stating that it delivers stronger benchmark performance, faster task completion, and shorter outputs than the previous version, representing a Pareto improvement in performance and cost, and it is now live on the official website, App, and API. The model has been optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and others; using DeepSeek Harness requires upgrading to v0.2.1-rc.1 or a later version.

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    #hot-signal#Product updates#DeepSeek#Model releases
  4. Testing CatalogSelected

    DeepSeek Releases Open-Weight Model DeepSeek-V4.1-Flash-1017

    DeepSeek releases the open-weight model DeepSeek-V4.1-Flash-1017, scoring 77% on the DeepSWE 1.1 benchmark, surpassing models such as GLM-5.3, Kimi K3, GPT-5.6 Sol, and Opus 5. The model is now available on DeepSeek Chat, the API, and HuggingFace, and the publisher says its performance and cost both improved over the previous version.

    Matched fieldsTitle、Summary、Body

    #hot-signal#Model releases#Open-source ecosystem#DeepSeek