DeepSeek

DeepSeek is an AI company providing foundation models and APIs for AI applications.

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DeepSeek

What is DeepSeek?

DeepSeek is an AI company founded in 2023, focusing on developing leading general artificial intelligence foundation models and technologies. They have released and open-sourced several large-scale models with billions of parameters, including DeepSeek-LLM, DeepSeek-Coder, and DeepSeek-MoE. DeepSeek provides APIs for accessing their models, allowing users to integrate AI capabilities into their applications.

How to use

To use DeepSeek, you can access their models through the DeepSeek Platform API. You'll need to sign up for an account and obtain API keys. The API documentation provides details on how to make requests and integrate the models into your applications.

Core Features

  • General large language models (LLM)
  • Code generation models
  • Mixture of Experts (MoE) models
  • API access to models
  • Context Caching

Use Cases

  • Chatbots and conversational AI
  • Code completion and generation
  • Reasoning and problem-solving
  • Text generation and summarization
  • Mathematical problem solving
  • Search
  • Writing
  • Reading
  • Translation

FAQ

How is pricing determined for the DeepSeek API?
Pricing is based on the total number of input and output tokens used by the model, measured in units per 1 million tokens. There are different prices for standard and discount times, and for cache hits and misses.
What is a token?
A token is the smallest unit of text that the model recognizes, which can be a word, a number, or even a punctuation mark.
What models are available through the DeepSeek API?
The DeepSeek API offers access to models like deepseek-chat (DeepSeek-V3) and deepseek-reasoner (DeepSeek-R1).
What is Context Caching?
Context Caching is a feature that can reduce input costs. Please check the DeepSeek Context Caching news article for details.
Does DeepSeek offer discounts?
Yes, DeepSeek API provides off-peak pricing discounts during 16:30-00:30 UTC each day.

Pricing

Pros & Cons

Pros
  • Open-source models available
  • High performance on benchmarks
  • API access for easy integration
  • Free AI assistant App
  • Off-peak pricing discounts
Cons
  • API usage costs based on token consumption
  • Rate limits may apply
  • Relatively new company