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DeepSeek is back — and this time, it’s serious. Meet DeepSeek-R1-0528, the latest upgrade to their powerful reasoning model. With a jaw-dropping 671B total parameters (37B active at a time), 163,840 token context, and a sparse Mixture-of-Experts architecture, this model brings OpenAI-level performance in an open-source package — and yes, it’s blazing fast, budget-friendly, and freely available for developers and researchers.
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[Link’s Used]:
Hugging Face Blog Post: https://huggingface.co/deepseek-ai/DeepSeek-R1-0528/discussions
OpenRouter: https://openrouter.ai/deepseek/deepseek-r1-0528:free
Deepseek Chatbot: https://chat.deepseek.com/
In this video, we:
✅ Showcase DeepSeek R1 0528’s reasoning abilities
✅ Explain how its Mixture of Experts setup works
✅ Run real reasoning + creative prompts
✅ Compare it to top models like GPT-4, Claude, and Mistral
✅ Highlight its $1.95/M input and $5/M output pricing
✅ Share how to use the free API and why this model is a game-changer
Oh — and it might just be the most uncensored, modular, and customizable open-source model to date, thanks to recent patching methods that reduce refusals without retraining.
🔥 FEATURES
671B parameter model (37B active per pass)
163K context length 🧠
Free and open-source under MIT license
Loquacious, detailed, and powerful reasoning generation
Modular experts allow censorship tuning
Compatible with vLLM + Mixture of Controllable Experts
Great for creative, logical, and multilingual tasks
Free test API available via DeepSeek platform
📌 Try it yourself: [Link to DeepSeek API or HuggingFace demo, if available]
💬 Let me know in the comments: What prompt should I test next?
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#Hashtags:
#DeepSeekR1 #opensourceai #GPT4Alternative #ReasoningAI #FreeAPI #MixtureOfExperts #llm #aimodels #UncensoredAI #technewssites 🚀🧠💡
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