DeepSeek
@deepseek_aiOct 17
🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4

Oct 17, 2026 · 8:35 AM UTC

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DeepSeek
@deepseek_aiOct 17
🎮 Build complete projects from scratch DeepSeek-V4.1-Flash-1017 uses reinforcement learning with self-feedback to improve end-to-end project development—from game creation to 3D modeling. See it in action 👇 2/4
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DeepSeek
@deepseek_aiOct 17
🔍 Search & Fetch APIs are now open to everyone! Powered by our in-house search engine, serving hundreds of millions of requests daily worldwide. 💰 Each endpoint: $0.75 per 1,000 calls. 📖 Docs: api-docs.deepseek.com/guides… 📌 Search & Fetch calls via server-side tools in DeepSeek Harness, Claude Code, and Codex are currently free for DeepSeek API users. Billing starts Oct 31, 2026, at 16:00 UTC. 3/4
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DeepSeek
@deepseek_aiOct 17
🔓 Open-source release Get DeepSeek-V4.1-Flash-1017: 🤗 Hugging Face: huggingface.co/deepseek-ai/D… 🔗 ModelScope: modelscope.cn/models/deepsee… 4/4
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Whale 🐋 is back babyyyy
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Deeeeeeeeeeepseeeeeeeeek
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i love you deepseek please marry me
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实测了!DeepSeek-V4.1-Flash-1017 做动效的水平非常牛,基本上仅次于Claude模型的水平。 用GPT-6暂时也没做出这么好的效果。 当然,这是搭配了我新做的动效skill做到的,预计下周发布,敬请期待。
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Sam after see DeepSeek beat GPT-5.6-Sol.
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Evan Kirstel #B2B #TechFluencer
@EvanKirstelOct 17
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The level of detail in the technical report is so amazing
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感受我DeepSeek的压制力吧,达里奥。
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Your naming conventions are confusing. Just name it 4.2
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You guys are honestly the GOAT of LLMs for the common man! We love you 😍
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My world is better because of 4.1-Flash. And I'm creating a better world because of this, DSH is my daily driver.
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open model better than 5.6 sol nice
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DeepSeek新模型做视频到底行不行??我看X上还挺多不同评价的。👇这是DeepSeek-V4.1-flash花了225分钟17.2元,做出来的鲸鱼穿越艺术史的动画。我觉得基本上能达到Opus5.5 80%左右的水准,略好于GPT-6 Astra。当然,这种好是在合适的harness和skill加持下实现的。这次做视频用的是我已经开源的huashu-art-motion:github.com/alchaincyf/huashu…
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shorter outputs i've been asking for that in every prompt for months usually the answer is four paragraphs promising to keep it short
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Mega thanks for this release 🙏
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You don't understand how version numbers work. 🤦‍♂️😅 Just call it 4.2!🤓
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太恐怖了!从发布到现在我拿新版DeepSeek V4.1 flash测了10多个复杂的agent任务,以及花了接近5亿token。 它的缓存命中率达到了恐怖的99.41%...好夸张,DeepSeek在缓存降成本能力上一骑绝尘了
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Congratulations 🎉 open source 🔥
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Lincoln 🇿🇦
@PresidentlinOct 17
Nice minor update Can't wait for Pro As always oblig How high will your ceiling go?!!
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impressive! congrats on the release yall!
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If this is what updated flash is, what in the world is next pro going to look like ?
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opening the search/fetch stack alongside the model is a smart move. weights alone only get you so far now. retrieval + harness quality is becoming a huge chunk of whether the agent actually feels good to use.
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you're so sneaky: opus 5 wasn't usable
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amazing congrats!
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why are we comparing this against prev gen models though? sol 6.1, opus 5.5...
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Thanks for the open weights! Used to spar with GLM-5.3-flash but now better than GLM-5.3 at nearly everything. Need to test the cyber capabilities now
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Huge win stronger faster and more efficient all at once thats the perfect Pareto improvement
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Still opus 5 is ahead even here.
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又是梁子化身梁圣的一天,虽然版本号都没变,只改了版本日期,但相比年初的V4版本,这至少该是V4.5 Pro级别的模型了。
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