[deepseek]
Deepseek AI is a next-generation open-source large language model and AI Tool designed to provide users with smarter, faster, and more accurate results for various tasks. Its results are at the same level as ChatGPT, and in some tasks it is outperforming other AI Giants.
DeepSeek-V3 prioritizes flexibility and transparency and makes it accessible to a broader audience. where other traditional AI tools focus on limited functionality, DeepSeek takes a broader approach. It can provide more recent & Up to date information on different topics like technology, current events, scientific advancements, and more, but better then other AI models.
What is DeepSeek AI?
DeepSeek AI is an artificial intelligence chatbot made by Chinese tech startup DeepSeek company. It’s like having a super-smart assistant that understands what you need and delivers accurate results quickly, anyone can use it without needing technical skills.
Deepseek AI online is simple to use and get register on it, also it is constantly improving. The Deepseek-R1 feature makes it even smarter and more reliable. It just makes it easy to get things done, if you’re working, researching, learning, or just exploring new ideas. In short, It gives results comparable to those developed by giants like OpenAI and Meta AI.
DeepSeek-V3 Key Features
Experience the powerful features that make the DeepSeek AI online stand out.
High-Performance NLP
DeepSeek AI excels in understanding context, generating human-like responses, and processing large-scale text data with accuracy.
Real-Time Data Processing
DeepSeek provides real-time data processing, it can analyze and process data as soon as it is generated or received, without delay.
Open-Source Model
DeepSeek is open-source AI model. Developers can access the model’s architecture, tweak its functionalities and modify it.
Deep-Think Mode
A conceptual approach to problem-solving and analysis is designed to advanced reasoning, and decision-making tasks.
Ethical AI Practices
DeepSeek prioritizes AI ethics, security, and bias reduction to ensure responsible AI usage. Fairness, transparency, and privacy!
Advanced MoE Architecture
Integrated MoE with a MLA mechanism to achieve high results in lesser costs by up to 40% compared to traditional MoE models.
DeepSeek AI Free Sign-up
Want to register on DeepSeek online & get started? It’s quick and free. It will take less than five minutes, and you don’t need any technical expertise to complete it. There are different methods to Sign-up for DeepSeek account, including through DeepSeek App and web browser, the most common method is through official website (www.deepseek.com). Follow these steps below to setup and register on DeepSeek online account, once registered you can easily sign-in and enjoy Deepseek Chat for free.
Step 1 Head to https://www.deepseek.com/ and click on the “Start Now” button. It’s left side of the main page for easy access.
Step 2 Provide basic information including, an email address, and a secure password. Remember that DeepSeek only accepts email, Gmail & phone numbers with +86 dial code (Which is China’s dial code) Make sure to double-check your email for accuracy.
Step 3 Now click on the Button “Send Code” and the verification code will be sent to your email address. (Check spam box in case it’s not there)
Step 4 Add the verification code and click on the “Submit” button. With your account ready, you can immediately start using DeepSeek’s features.
DeepSeek Login Step-By-Step Guide
Once you’ve created your account, deepseek sign in process is even simpler, just like other platforms. Follow these steps and enjoy Deepseek Chat for free.
Step 1 Go to https://www.deepseek.com/ , and click on the “Start Now” button. Next on the homepage, click the “Login” button
Step 2 Enter your registered email address(or +86 phone number in case you have opted for it) and password you selected to protect your account.
Step 3 After DeepSeek Login, you’ll be directed to your personalized dashboard, where you can start chatting with the advanced chatbot.
Troubleshooting DeepSeek Errors
DeepSeek AI online is a powerful AI tool/platform, but like any online service, it can sometimes run into issues which is common. Below, we’ll cover two common errors users face and claim that DeepSeek is not working for them.
DeepSeek Server Busy Error
If you see the message “The Server Is Busy Please Try Again Later,” it means DeepSeek is overloaded with too many users at once. However, the issue might also be on your end.
- Refresh the Page – Sometimes, a simple refresh fixes the issue.
- Check Your Internet – Ensure your connection is stable and fast.
- Clear Cache & Cookies – Old data can cause loading problems.
- Disable VPN – If you’re using a VPN, turn it off and try again.
DeepSeek Sign-Up Code Error
Many users struggle with not receiving the verification code error during sign-up. Follow these steps to solve.
- Check Spam & Promotions Folders – Gmail often hides automated emails here.
- Resend the Code – Click the resend button on the sign-up page.
- Use a Different Email Provider – Try signing up with Outlook or Yahoo instead of Gmail.
- Whitelist DeepSeek’s Email Address – Add DeepSeek to your contacts to ensure emails arrive.
DeepSeek-V3 Capabilities and Performance
DeepSeek V3 has gained attention for its advanced capabilities and work efficiency. DeepSeek leads the leaderboard among other open-source models and competes closely with the most advanced closed-source models (Like ChatGPT) worldwide. This highlights its exceptional performance across multiple benchmarks, making it a strong contender in the rapidly evolving AI landscape.
DeepSeek V3 Architecture
DeepSeek V3 employs a Mixture-of-Experts (MoE) system, activating only a subset of its 671 billion parameters, approximately 37 billion, for any given task. This selective activation helps reduce computational costs while maintaining high performance. The MoE framework assigns tasks to specialized expert networks, each focusing on specific areas. A gating mechanism determines which expert is best suited to handle a particular task, ensuring the most accurate output.
Performance on English Benchmarks
- MMLU (Massive Multi-Task Language Understanding) benchmarks assess model performance on a variety of tasks:
- DeepSeek V3 achieves 88.5 on MMLU (EM), slightly higher than Qwen2.5 at 85.3, but lower than Llama3.1 at 88.6.
- Claude-3.5 scores 88.3, and GPT-4o scores 87.2.
- MMLU-Redux shows similar trends with DeepSeek-V3 at 89.1, outperforming DeepSeek V2.5 at 80.3, and Qwen2.5 at 85.6.
- On DROP (3-shot F1), a task assessing question answering with reading comprehension, DeepSeek-V3 scores the highest at 91.6, while Qwen2.5 lags behind with 76.7.
- In SimpleQA, GPT-4o leads with 38.2, far ahead of DeepSeek-V2.5 at 10.2.
Code Performance
- For HumanEval-Mul (Pass@1), DeepSeek V3 performs well with 82.6, closely followed by GPT-4o with 80.5.
- LiveCodeBench (Pass@1) shows DeepSeek V3 performing at 37.6, and GPT-4o at 34.2.
- Codeforces (Percentile) results show DeepSeek V3 at 51.6, outperforming other models like Claude-3.5 with 20.3 and GPT-4o with 23.6.
Mathematical Problem Solving
- AIME 2024 (Pass@1) is an important benchmark for mathematical reasoning. DeepSeek V3 leads with 39.2, while GPT-4o struggles with 9.3.
- On the MATH-500 (EM) test, DeepSeek V3 performs well with 90.2, ahead of DeepSeek V2.5 at 74.7 and GPT-4o at 74.6.
- CNMO 2024 (Pass@1) shows DeepSeek V3 at 43.2, while other models like Claude-3.5 score lower at 13.1.
Chinese Language Tasks
- For CLUEWSC (EM), DeepSeek V3 leads with 90.9, followed by Qwen2.5 at 91.4.
- C-Eval (EM) sees DeepSeek V3 at 86.5, ahead of Qwen2.5 at 86.1.
- C-SimpleQA (Correct) also favors DeepSeek V3 with 64.1, showing better performance compared to other models like Qwen2.5 at 48.4.
The Data Privacy Question?
While using any Ai assistant the first thing comes in mind is the security concerns, to address this DeepSeek takes these concerns seriously, this is why It employs top-notch encryption methods to safeguard user data. From personal details to your search history, everything is kept secure and private.
According to DeepSeek’s privacy terms and conditions, it says, “We store the information we collect in secure servers located in the People’s Republic of China… We may collect your text or audio input, prompt, uploaded files, feedback, chat history, or other content that you provide to our model and Services“.
How is DeepSeek AI Different than Other AI Models?
DeepSeek AI stands out for its focus on precision and user experience. While there are many AI tools available today, Deepseek’s results clearly show that it is outperforming other previous open-source models. It uses advanced algorithms to understand your needs and provide accurate, helpful responses. DeepSeek doesn’t just answer it understands the context. For example, if you ask about the weather, it won’t just tell you the temperature. It’ll also suggest what to wear or whether you should carry an umbrella. That’s the kind of thoughtful assistance DeepSeek AI online offers.
If we do DeepSeek Comparison with other AI models like GPT-4, Google Gemini, or Cloud typically then they rely on supervised learning, DeepSeek’s R1 model is a unique blend of both supervised and reinforcement learning, resulting in a far more advanced AI than its predecessor.
DeepSeek caught everyone’s attention with its up-to-date and efficient results and by matching top models at a very low cost estimated at between $5 and $6 million. This is a live example of the saying that high performance can be achieved with fewer resources too.
DeepSeek R1 Performance Capabilities
Another thing that makes it different from other AI models is DeepSeek-R1 feature. When we give a problem to DeepSeek AI online and use the DeepThink-R1 feature, Instead of directly providing the answer, it follows a “chain of thought” approach. It reasons through the problem step by step, this makes it easier to solve complex issues in a more efficient and transparent way. This allows you to see exactly how it arrived at the solution.
If we compare it to the other AI models then YES they also solve problems, but their reasoning process is often closed or hidden. This lack of transparency can sometimes make it harder for them to provide accurate answers, whereas DeepSeek R1’s open reasoning approach improves clarity and accuracy.
DeepSeek-R1 is built for high-level reasoning and problem-solving tasks. Reports say it competes with the best AI models, excelling in math, coding, and language tasks. DeepSeek R1 is a model which performs something called chain of thoughts. What this “chain of thoughts” do is actually it thinks and write down a step-by-process of solving the problem and go towards the end results which is absolutely the solution. It is a great feature ir you want answer but in steps of solving it.
DeepSeek AI Vs OpenAI’s ChatGPT
While ChatGPT and OpenAI are undoubtedly powerful, DeepSeek AI shines in areas they overlook. Its open-source model, user-friendly design, and affordability make it a strong contender. Plus, features like DeepThink-R1 give it an edge in specialized tasks.
DeepSeek AI is more focused on finding accurate answers and delivering results that are highly relevant to user queries. DeepSeek claims to be significantly less expensive because of its more effective, low-power processing. One significant benefit of DeepSeek is its unlimited communications capacity. Unlike ChatGPT, where you’ll encounter a wall (typically a bit sooner than you’d like) and be prompted to upgrade, you can speak with it all day and It’s like having a friend who gives you straight answers instead of beating around the bush.
ChatGPT’s knowledge may sometimes lag because it’s trained on data with specific cut-off points and may not be continuously updated unless integrated with a web search. On the other hand, DeepSeek seems to prioritize real-time information updates, potentially it offers more current and accurate responses on recent events or topics.
Another difference is the use of technology to make these two models. DeepSeek uses a modular MoE (Mixture of Experts) architecture, which activates specific parts of the network for different tasks to boost efficiency. While ChatGPT employs a transformer-based architecture that processes all tasks through its entire network.
DeepSeek’s Next-Gen Multimodal AI “Janus Pro 7B”
After the release of DeepSeek V3 and R1, DeepSeek introduced Janus Pro 7B as part of its Janus Series. it can both comprehend and generate text and images. Key features are:
- With 7 billion parameters, it delivers superior accuracy and efficiency, outperforming models like DALL-E 3 in key benchmarks.
- The model excels in both image understanding and text-to-image generation, optimizing precision across tasks.
- It integrates a single transformer-based architecture, ensuring seamless text and image comprehension and generation.
- Available via Docker, GitHub, and Hugging Face, Janus Pro 7B allows developers to customize and integrate it into various applications.
Who is Behind DeepSeek?
Liang Wenfeng, A 40-year-old and a former hedge fund manager, is the founder of DeepSeek AI, the artificial intelligence startup that shook the U.S. stock market. He is known for his innovative approach to AI and his successful background in quantitative finance.
Before founding DeepSeek, Liang was the mastermind behind Huanfang Quantitative, an AI-driven hedge fund that outperformed Wall Street. His algorithms predicted market trends with remarkable precision. Yet, Liang sought more. He identified a greater challenge: making AI accessible to everyone, not just the privileged few.
Liang Wenfeng used his achievements at High-Flyer, a hedge fund that managed over $10 billion by 2019, to launch DeepSeek AI in May 2023. Under his direction, DeepSeek demonstrated his creative and economical methods by training its V3 model using just 2,000 NVIDIA H800 chips for less than $6 million, then finally he launched the R1 model on January 20, 2025. Liang Wenfeng aims to advance China toward artificial general intelligence.
DeepSeek ranks at the top of the App Store and is utilized by hedge funds, startups, and individuals alike. As for Liang, he declined a $10 billion acquisition offer, stating, “DeepSeek isn’t for sale. It’s a mission.”