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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.

Compared to models like GPT-4, it offers a more budget-friendly solution for users who want flexibility without the cost of cloud-based services. For users who prioritize data privacy or want to run AI models on their own machines, this AI platform offers the option to run models locally. The models are highly customizable, allowing developers to fine-tune them for specific use cases, such as chatbots or virtual assistants. This cost efficiency is achieved through less advanced Nvidia H800 chips and innovative training methodologies that optimize resources without compromising performance.

DeepSeek Coder

• Together they cover chatbots, agents, math and logic, coding copilots, RAG over long documents, and more.
• Ideal for AI tutors, research assistants, advanced agents, and analytical tools, DeepSeek Reasoner lets developers inspect, log, and leverage the model’s reasoning process instead of treating it as a black box.
• DeepSeek uses natural language processing (NLP) and machine learning to understand your queries and provide accurate, relevant responses.
• For example, RL on reasoning could improve over more training steps.

After training, it was deployed on clusters of H800 GPUs. They trained the Lite version to help «further research and development on MLA and DeepSeekMoE». They claimed performance comparable to a 16B MoE as a 7B non-MoE. They trained on 2 trillion tokens of English and Chinese text obtained by deduplicating the Common Crawl. They were trained on clusters of A100 and H800 Nvidia GPUs, connected by InfiniBand, NVLink, NVSwitch. The model was made source-available under the DeepSeek License, which includes «open and responsible downstream usage» restrictions.

Powerful Text-Based AI Models

DeepSeek uses advanced machine learning models to process information and generate responses, making it capable of handling various tasks. Founded in 2023 by a hedge fund manager, Liang Wenfeng, the company is headquartered in Hangzhou, China, and specializes in developing open-source large language models. From daman game online generating an API key to making chat, reasoning, or coding requests, this guide simplifies the process of leveraging DeepSeek’s powerful tools in real-world applications—efficiently, affordably, and at scale.

However, some experts and analysts in the tech industry remain skeptical about whether the cost savings are as dramatic as DeepSeek states, suggesting that the company owns 50,000 Nvidia H100 chips that it can’t talk about due to US export controls. Its R1 model outperforms OpenAI’s o1-mini on multiple benchmarks, and research from Artificial Analysis ranks it ahead of models from Google, Meta and Anthropic in overall quality. There’s also fear that AI models like DeepSeek could spread misinformation, reinforce authoritarian narratives and shape public discourse to benefit certain interests. Similar to the scrutiny that led to TikTok bans, worries about data storage in China and potential government access raise red flags. Also setting it apart from other AI tools, the DeepThink (R1) model shows you its exact «thought process» and the time it took to get the answer before giving you a detailed reply. DeepThink (R1) provides an alternative to OpenAI’s ChatGPT o1 model, which requires a subscription, but both DeepSeek models are free to use.

Overview of models

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.

How does DeepSeek’s open-source community support active development?

Little known before January, the AI assistant launch has fueled optimism for AI innovation, challenging the dominance of US tech giants that rely on massive investments in chips, data centers and energy. But unlike the American AI giants, which usually have free versions but impose fees to access their higher-operating AI engines and gain more queries, DeepSeek is all free to use. It’s built to assist with various tasks, from answering questions to generating content, like ChatGPT or Google’s Gemini. He’s a former lead at top Chinese AI firms and studied advanced machine learning and NLP, giving him the vision to create a scalable, open AI ecosystem. It includes chat fine-tuning, role definition support, and few-shot prompt compatibility. The 7B version is around 13–16GB with tokenizer, model weights, and configuration files.

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).

Sometimes, it skipped the initial full response entirely and defaulted to that answer. Trust is key to AI adoption, and DeepSeek could face pushback in Western markets due to data privacy, censorship and transparency concerns. DeepSeek operates as a conversational AI, meaning it can understand and respond to natural language inputs.

DeepSeek significantly reduced training expenses for their R1 model by incorporating techniques such as mixture of experts (MoE) layers. DeepSeek’s models are described as «open weight,» meaning the exact parameters are openly shared, although certain usage conditions differ from typical open-source software. Its training cost was reported to be significantly lower than other LLMs. DeepSeek can handle multiple tasks simultaneously, saving you time and effort.

• The company launched an eponymous chatbot alongside its DeepSeek-R1 model in January 2025.
• That allows customers to use extra capabilities, including API access and priority support just $0.55 per million inputs token.
• 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.
• With specialized models like DeepSeek R1 and Coder V2, it caters to developers and enterprises seeking transparency, affordability, and fine-tuned control.
• Deepseek AI is an advanced artificial intelligence platform designed to power intelligent agents, automate complex tasks, and support natural language understanding at scale.

Our software is based on quantum-inspired tensor networks, which allows us to identify and remove the least important parameters that contribute little to the model’s overall performance. All of these models offer greater compute efficiency but none of them fully stack up to R1. Operational expenses for power, cooling, and data center space further inflate the investment, putting the powerful model out of reach for most organizations. Hardware costs for the 671-billion parameter model soar well into the hundreds of thousands of dollars.

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.

Data/Business Analytics

While DeepSeek focuses on versatility and accessibility, Kimi K2 shines in deep, context-rich processing and autonomous task execution. It’s ideal for structured workflows, document analysis, and business tasks. DeepSeek excels in multimodal reasoning, code generation, and enterprise integrations with tools like DeepSeek-R1 and V3.

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.

What is the size of the DeepSeek-V3 model on Hugging Face and what does it include?

Not just that, DeepSeek also provided the model weights publicly, in a push toward open-source AI development. This relatively unknown company from China entered the AI race and challenged many established players. Consequently it has opted to use Nvidia chips for training and Huawei chips for inference. Specifically, DeepSeek was encouraged by authorities to adopt Huawei’s Ascend chips for training, but it had stability issues, slower inter-chip connectivity and inferior software. R1-Zero has issues with readability and mixing languages. Format reward was checking whether the model puts its thinking trace within a …

You can use DeepSeek AI for free via chat.deepseek.com or you can install the DeepSeek mobile app (Android / iOS). It’s a young startup, but in just two years, it has surprised the world with powerful AI models. DeepSeek AI is an AI chatbot similar to ChatGPT, and it has been developed by a Chinese company headquartered in Hangzhou. It was dubbed the «Pinduoduo of AI», and other Chinese tech giants such as ByteDance, Tencent, Baidu, and Alibaba cut the price of their AI models.

With specialized models like DeepSeek R1 and Coder V2, it caters to developers and enterprises seeking transparency, affordability, and fine-tuned control. DeepSeek is your all-in-one, open-weight powerhouse—built for reasoning, coding, chat, and beyond. Vision-language model capable of processing both images and text—ideal for document understanding, image captioning, and multimodal reasoning. Combined with a free web/app interface and cost-effective API access, DeepSeek’s ecosystem delivers scalable AI solutions for developers, students, and businesses alike. You can use DeepSeek AI through multiple intuitive methods, making it accessible for professionals, students, developers, and anyone seeking advanced AI-powered assistance. DeepSeek AI has quickly established itself as a serious contender in the AI ecosystem, thanks to its open-source models, breakthrough reasoning capabilities, and highly efficient architecture.

The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. However, The Wall Street Journal reported that on 15 problems from the 2024 edition of AIME, the o1 model reached a solution faster. DeepSeek claimed that it exceeded performance of OpenAI o1 on benchmarks such as American Invitational Mathematics Examination (AIME) and MATH. The cost has been discussed and called misleading, because it covers only parts of the true cost.