DeepSeek Releases V4.1-Flash-1017 as Providers Expand Access and Offer Promotional Pricing

1. 17:03
   雷锋网

   National Supercomputing Internet Cuts AI Model Calling Costs

   National Supercomputing Internet announced price changes, including a limited-time offer for new users to call DeepSeek-V4.1-Flash-1017 and GLM-5.3-Flash for 0.1 yuan per 50 million tokens. It also added more mainstream models to its TokenPlan plans. Subscribers can call the Auto model for free from 21:00 to 09:00 nightly, October 21–30.

1. 06:02
   Cursor · X

   DeepSeek V4.1 Flash is now available in Cursor

   DeepSeek V4.1 Flash is now available in Cursor! Cursor says every effort level sits on the CursorBench cost frontier: from $0.60 to $0.98 per task, no model scores higher. Turn it on in Cursor Settings > Models. https://t.co/QNQmJpaOa0

1. 05:53
   Ollama · XPicks

   Ollama adds DeepSeek-V4.1-Flash-1017 with US-based hosting and zero data retention

   DeepSeek-V4.1-Flash-1017 is on Ollama with US-based hosting and zero data retention. Ollama describes it as strong on agentic tasks while being cheaper per task. Try it on Ollama Cloud: ollama run deepseek-v4.1-flash:1017-cloud Claude Code: ollama launch claude --model deepseek-v4.1-flash:1017-cloud OpenCode: ollama launch opencode --model deepseek-v4.1-flash:1017-cloud

2. 04:18
   Ollama · XPicks

   Ollama prepares US hosts as DeepSeek announces DeepSeek-V4.1-Flash-1017

   Ollama says it is working on getting its US hosts running, adding “Very soon!” https://t.co/KVPwbUY14l In the quoted announcement, DeepSeek says DeepSeek-V4.1-Flash-1017 delivers stronger benchmark performance, faster task completion, and shorter outputs than the previous version, describing a Pareto improvement in performance and cost. DeepSeek says it is live on its website, app, and API and optimized for @DeepSeekHarness and Tencent CodeBuddy, with this link also included: https://t.co/MiqGbnCiVz

3. 00:02
   宝玉 · X

   DeepSeek releases V4.1-Flash-1017 with faster task completion and shorter outputs

   DeepSeek released DeepSeek-V4.1-Flash-1017, an upgrade it says delivers higher benchmark scores, faster task completion, and shorter outputs than the previous version, now available on its website, app, and API. Baoyu also reports that the web search API will cost 5 yuan per 1,000 calls starting November 1.

1. 20:55
   Nathan Lambert · X

   DeepSeek releases DeepSeek-V4.1-Flash-1017 with claimed performance and cost improvements

   DeepSeek announced DeepSeek-V4.1-Flash-1017, claiming stronger benchmark performance, faster task completion, and shorter outputs than the previous version, now available on its website, app, and API. Nathan Lambert calls the naming scheme “bonkers” and the benchmark improvement big, suggesting it could prove stronger than GLM 5.3 with vision built in. “The King of open weights is back?” https://t.co/MlojCb5dxP

2. 20:21
   量子位Picks

   DeepSeek releases DeepSeek-V4.1-Flash-1017 and opens Search and Fetch APIs

   DeepSeek released DeepSeek-V4.1-Flash-1017 across its website, app, and API, with reported improvements in coding and agent benchmarks alongside shorter task runtimes and outputs. According to the report, training specifically optimized the model for DeepSeek Harness, which requires version 0.2.1-rc.1 or later to fully use the improvements. DeepSeek also opened Search and Fetch APIs for finding webpages and retrieving their content as Markdown, priced at 5 yuan per 1,000 successful requests and temporarily free until November 1.

3. 18:33
   The DecoderPicks

   Deepseek-V4.1-Flash-1017 improves agentic coding scores and lowers reported task costs

   Deepseek released Deepseek-V4.1-Flash-1017 through its website, app, and API, with open-source weights on Hugging Face and ModelScope. In Deepseek’s own DeepSWE results, it scores 77.0 percent at just under $0.20 per task, versus its predecessor’s 74.2 percent at around $0.50; independent benchmarks are not yet available. Deepseek also opened its internally developed search engine to developers through Search & Fetch APIs, with each endpoint priced at $0.75 per 1,000 calls.

4. 18:18
   vLLM · XPicks

   vLLM highlights serving performance as DeepSeek releases DeepSeek-V4.1-Flash-1017

   DeepSeek announced DeepSeek-V4.1-Flash-1017 with stronger benchmark performance, faster task completion, and shorter outputs than the previous version, available on its website, app, and API. Congratulating DeepSeek, vLLM reports 1.3B tokens per dollar TCO on SemiAnalysis AgentX for DeepSeek-V4.1-Flash, with 830K tok/s per GPU (cached + input + output) at 100 tok/s per user, and 5x agentic throughput since day 0. https://vllm.ai/blog/2026-10-07-deepseek-v41-flash

5. 16:35
   DeepSeek · XPicks

   DeepSeek releases DeepSeek-V4.1-Flash-1017 on its website, app, and API

   🚀 DeepSeek-V4.1-Flash-1017 is here! DeepSeek reports stronger benchmark performance, faster task completion, and shorter outputs than the previous version, describing a Pareto improvement in performance and cost. The model is now live on its website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. DeepSeek recommends upgrading to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.

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