We recognize that this form of model restoration introduces new ethical considerations. The process was designed to enhance reasoning consistency and factual coverage without altering DeepSeek R1’s safety systems or alignment behavior. Adjusting how an AI model handles restricted information is a responsibility we approach with care and transparency. We also conducted extensive tests to determine that all of the political censorship baked into the original model no longer had any bearing on model outputs. Our team then went through an extensive healing process across multiple GPUs to restore the full accuracy of the model. Our technology enabled us to remove 300B+ parameters from R1 and locate specific weights storing political topic restrictions, and isolate and remove them from the model.
While DeepSeek R1 is open source, running the massive model is a significant financial undertaking. It quickly gained traction for both its raw power and open-source nature, democratizing access to top-tier AI capabilities and spurring further innovation within the global research community. Further, Multiverse removed the model’s fine-tuned censorship on politically sensitive topics. All that said, DeepSeek is a major AI company to come out of China, along with Alibaba, and we should monitor its progress. New reports suggest that the DeepSeek team tried to use Ascend chips but switched back to Nvidia GPUs for training due to technical limitations.
- With faster reasoning than R1, smarter agent support, and up to 2× cost savings compared to GPT-5, DeepSeek-V3.1 is the most practical AI model of 2025.
- On 20 January 2025, DeepSeek launched the DeepSeek chatbot—based on the DeepSeek-R1 model—free for iOS and Android.
- Its training cost is reported to be significantly lower than other LLMs.
- The interactive chat interface powered by DeepSeek-V3, designed for general conversation, writing, research assistance, brainstorming, and Q&A.
DeepSeek V2
Perplexity now also offers reasoning with R1, DeepSeek’s model hosted in the US, along with its previous option for OpenAI’s o1 leading model. What sets DeepSeek apart is its ability to develop high-performing AI models at a fraction of the cost. Earlier in January, DeepSeek released its AI model, DeepSeek (R1), which competes with leading models like OpenAI’s ChatGPT o1. Kimi K2, powered by a Mixture-of-Experts (MoE) architecture, offers a massive 128K token context window and is optimized for long-form content, advanced reasoning, and agentic automation. Grok 4, developed by xAI, emphasizes real-time social awareness, long-context processing (up to 256K tokens), and tool-calling for complex tasks. DeepSeek focuses on open-source access, efficient reasoning, and developer-friendly APIs with low-cost token pricing.
How can I access and download DeepSeek models from Hugging Face?
DeepSeek-V2 was released in May 2024, followed a month later by the DeepSeek-Coder V2 series. Two months later, on 17 July 2023, that lab was spun off into an independent company, DeepSeek, with High-Flyer as its principal investor and backer. 27% was used to support scientific computing outside the company. This threatened established AI hardware leaders such as Nvidia; Nvidia’s share price dropped sharply, losing US$600 billion in market value, the largest single-company decline in U.S. stock market history.
Key Features for Developers
Built on advanced transformer architectures, DeepSeek models are optimized for performance, multilingual support, and efficient deployment. Known for models like DeepSeek-Coder and DeepSeek-V2, the company aims to push the boundaries of natural language understanding, generation, and code intelligence. DeepSeek is a cutting-edge AI research and development company focused on creating powerful large language models (LLMs) for diverse applications. Whether you’re looking for a solution for conversational AI, text generation, or real-time information retrieval, this model provides the tools to help you achieve your goals. Yes, it offers a free version that lets you access its core features without any cost. Yes it provides an API that allows developers to easily integrate its models into their applications.
Unlike previous versions, it used no model-based reward. DeepSeek-R1-Zero was trained exclusively using GRPO RL without SFT. The reasoning process and answer are enclosed within and tags, respectively, i.e., reasoning process here answer here .
The model has been noted for more tightly following official Chinese Communist Party ideology and censorship in its answers to questions than prior models. On 20 January 2025, DeepSeek launched the DeepSeek chatbot—based on the DeepSeek-R1 model—free for iOS and Android. In December, DeepSeek-V3-Base and DeepSeek-V3 (chat) were released. Later, it incorporated NVLinks and NCCL (Nvidia Collective Communications Library) to train larger models that required model parallelism.
How to Get Started with DeepSeek AI
DeepSeek is an advanced AI tool that helps users find answers, generate content, solve problems, and streamline tasks. It is increasingly being integrated into AI tools, APIs, and research projects worldwide, particularly in regions seeking strong open alternatives to proprietary models. It offers a free plan with core features, while paid plans start at $0.55 per million input tokens. That allows customers to use extra capabilities, including API access and priority support just $0.55 per million inputs token.
DeepSeek Reasoner – Thinking Mode for Math, Code & Logic
DeepSeek’s API operates on a usage-based token billing model, similar to OpenAI and Anthropic—but at a significantly lower cost. A specialized model for solving math problems, symbolic logic, and step-by-step equation solving—great for education and research. The first-generation AI coding assistant from DeepSeek, designed for code completion, bug fixing, and language-specific development help. An earlier generation LLM providing strong performance in general text tasks, known for its efficient deployment and robust NLP skills. A cutting-edge Mixture-of-Experts (MoE) model designed for code generation, debugging, and programming support across 300+ languages.
In 2025, the company keep updating its DeepSeek-V3 and DeepSeek-R1 models. Now, in January 2025, the capable DeepSeek-R1 reasoning model was released with DeepSeek app for both Android and iOS. The first reasoning AI model, DeepSeek-R1-Lite was released in November, and in December, we got the DeepSeek-V3 base model.
Data/Business Analytics
- DeepSeek and Grok 4 are cutting-edge AI models, each with unique strengths.
- The training was essentially the same as DeepSeek-LLM 7B, and was trained on a part of its training dataset.
- This provides full control over the AI models and ensures complete privacy.
- We also conducted extensive tests to determine that all of the political censorship baked into the original model no longer had any bearing on model outputs.
The cluster is divided into two “zones”, and the platform supports cross-zone tasks. DeepSeek also expanded on the African continent as it offers more affordable and less power-hungry AI solutions. This model features a hybrid architecture with thinking and non-thinking modes. On August 21, 2025, DeepSeek released DeepSeek V3.1 under the MIT License. On 28 May 2025, DeepSeek released DeepSeek-R under the MIT License. On 20 November 2024, the preview of DeepSeek-R1-Lite became available via chat.
What is the size of the DeepSeek-V3 model on Hugging Face and what does it include?
That allows customers to use core features, including chat-based AI models and basic search function Whether you’re building a chatbot, automated assistant, or custom research tool, fine-tuning the models ensures that they perform optimally for your specific needs. Its open-source nature and local hosting capabilities make it an excellent choice for developers looking for control over their AI models. Two most advanced conversational AI models, each with unique strengths and capabilities. Its a open-source LLM for conversational AI, coding, and problem-solving that recently outperformed OpenAI’s flagship reasoning model.
DeepSeek AI Chatbot – Smart, Open-Weight Assistant for Chat & Code
For example, RL on reasoning could improve over more training steps. The series includes 4 models, 2 base models (DeepSeek-V2, DeepSeek-V2 Lite) and 2 chatbots (Chat). The training was essentially the same as DeepSeek-LLM 7B, and was trained on a part of its training dataset. DeepSeek Coder is a series of eight models, four pretrained (Base) and four instruction-finetuned (Instruct). The company began stock trading using a GPU-dependent deep learning model on 21 October 2016; before then, it had used CPU-based linear models.
Pricing starts at $0.55 per million tokens for the Professional Plan, which is a cost-effective solution for developers who need high-performance AI without breaking the bank. It has demonstrated impressive performance, even outpacing some of the top models from OpenAI and other competitors in certain benchmarks. This online ai platform provides a variety of models, including its R1 model, designed to excel in tasks like conversational AI, complex query answering, and text generation.
This provides full control over the AI models and ensures complete privacy. The R1 model can be deployed on personal computers or servers, ensuring that sensitive data never leaves the local environment. This feature is particularly useful for tasks like market research, content creation, and customer service, where access to the latest information is essential. Unlike many other AI platforms, this AI supports real-time search. Many advanced AI tools are locked behind paywalls, but its pricing structure is accessible to both individuals and enterprises.
Architecturally, the V2 models were significantly different from the DeepSeek LLM series. They opted for 2-staged RL, because they found that RL on reasoning data had “unique characteristics” different from RL on general data. DeepSeek-MoE models (Base and Chat), each have 16B parameters (2.7B activated per token, 4K context length).
In addition, DeepSeek released a detailed technical paper and openly shared its RL-based post-training method to train reasoning models. Distilled models were trained by SFT on 800K data synthesized from DeepSeek-R1, in a similar way as step 3. For developers, fine-tuning the AI models for specialized tasks is crucial.
This guide helps developers, architects, and daman game online security teams understand common attack paths, apply practical mitigations, and design LLM applications that are secure by default, not patched as an afterthought. We’re excited to announce that DeepSeek-R1 has been upgraded with enhanced analytical capabilities and more sophisticated reasoning power. Click here for API access to DeepSeek R1 Slim. To ensure transparency and accountability, we have established an independent ethics and safety committee composed of both internal experts and external advisors in AI governance, data ethics, and international law.