DeepSeek

DeepSeek is a high-performance, open-source, generative AI platform that supports multiple languages and multimodal inputs to deliver advanced inference capabilities at low cost.

4.0
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Launch Date
November 2023
Monthly Visitors
436.2M
Country of Origin
China
Platform
Web · App
Language
Chinese · English

Keywords

  • DeepSeek
  • generative AI
  • open source LLM
  • R1 model
  • V3 model
  • DeepSeek Coder
  • reinforcement learning
  • multimodal AI
  • high-performance inference
  • low-cost AI

Platform Description

DeepSeek is an artificial intelligence company founded in Hangzhou, China in 2023 that has gained traction in the global AI market by developing low-cost, high-performance, open-source generative AI models. The DeepSeek-R1 model, released in January 2025, performs similarly to GPT-4, but was developed at a cost of about $6 million, which is one-tenth the cost of traditional AI model development. DeepSeek's main product line consists of DeepSeek Coder, DeepSeek LLM, and DeepSeek Chat, with DeepSeek Coder supporting 338 programming languages and providing 128K context length for code generation and debugging. DeepSeek provides accessibility to a wide range of users through its web platform, mobile apps, and APIs, and its open-source policy allows researchers and developers to freely utilize and improve its models. In addition, the R1-Zero model, which is based on reinforcement learning, achieves high-performance inference capabilities through pure reinforcement learning alone, opening up new possibilities in the way AI models are trained. DeepSeek's rapid growth and technological innovations are having a significant impact on the global AI industry, attracting the attention of many companies and research institutions, especially as it shows the potential to develop high-performance AI models at low cost.

Core Features

  • Delivering an open source model

    DeepSeek's core model is released under the MIT license for free use

  • High-performance inference capabilities

    R1-Zero model based on reinforcement learning efficiently performs complex inference tasks

  • Support for multiple languages

    Provide accessibility to global users with support for 100+ languages

  • Multimodal Input Processing

    Can handle many forms of input, including text, images, voice, and more

  • Generating and debugging code

    DeepSeek Coder supports 338 programming languages and specializes in code generation and debugging

  • Mobile and web platform delivery

    Accessible across devices via web-based platform and mobile apps for Android and iOS

  • API integration support

    APIs allow integration with a wide range of applications, useful for developers

  • Low-cost, high-efficiency models

    Highly cost-effective, delivering high performance at a lower cost than traditional AI models

Use Cases

  • Generate AI code
  • Natural language question and answer
  • Technical article summary
  • Analyzing contracts
  • Multilingual translation
  • Derive data insights
  • Automated report generation
  • Create learning content
  • Practice interviews
  • Developer code review support
  • Internal Q&A chatbot
  • Handling multiturn conversations
  • Solve math problems
  • System Design Assist
  • Automate news/blog creation
  • Automating API documentation
  • Create product descriptions
  • Customer feedback summary
  • Documenting your source code
  • Support for open source collaboration

How to Use

1

Access the deepseek homepage or download the mobile app.

2

Create an account and log in.

3

Provide the desired input, such as text, images, voice, etc.

4

Check the results generated by the AI and make additional requests to improve the results as needed.

FAQs

  • Yes, basic features are available for free, and advanced features are available through paid plans.
  • It supports 338 programming languages and specializes in code generation and debugging.
  • Yes, it's available through mobile apps for Android and iOS.
  • Yes, you can integrate with a variety of applications through our API.
  • Reinforcement learning-based models perform complex inference tasks efficiently and allow for more flexible learning than traditional supervised learning methods.
  • DeepSeek's open source model is available under the MIT license and can be freely utilized for research and development purposes.
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