OpenAI

Creator of GPT-4, ChatGPT, and leading AI research lab

paidproductiongpt-4chatgptapimultimodalresearch

Memory Types

Integrations

api, azure, langchain, llamaindex


Overview


OpenAI is the AI research organization that created GPT-4, ChatGPT, DALL-E, and Whisper. Founded in 2015 and transitioning from nonprofit to "capped-profit" in 2019, OpenAI has become the most influential player in the AI industry. ChatGPT's launch in November 2022 catalyzed the current AI revolution, reaching 100 million users faster than any product in history.


The company provides both consumer products (ChatGPT, DALL-E) and developer APIs (GPT-4, GPT-3.5, embeddings, Whisper). OpenAI's models are known for their exceptional quality, versatility, and ease of use, making them the default choice for many developers building AI applications.


Key Features


  • **GPT-4**: Most capable language model available
  • **GPT-4o**: Multimodal model with vision and audio
  • **GPT-3.5 Turbo**: Fast, cost-effective model
  • **Function Calling**: Structured outputs and tool usage
  • **Assistants API**: Managed conversation threads and tools
  • **Vision**: Image understanding capabilities
  • **DALL-E 3**: State-of-the-art image generation
  • **Whisper**: Best-in-class speech recognition

  • When to Use OpenAI


    OpenAI is ideal for:

  • Production applications requiring highest quality
  • Multimodal applications (text, image, audio)
  • Teams wanting the most capable models
  • Applications where cost is less critical than quality
  • Developers needing comprehensive API ecosystem
  • Projects requiring function calling and tools

  • Pros


  • Highest quality models available
  • Comprehensive API offerings
  • Excellent documentation and support
  • Large ecosystem and community
  • Regular model updates and improvements
  • Strong safety and alignment research
  • Multimodal capabilities
  • Best-in-class developer experience

  • Cons


  • More expensive than competitors
  • Cloud-only (no self-hosting)
  • Data privacy concerns for some use cases
  • Rate limits can be restrictive
  • Vendor lock-in with proprietary models
  • Political controversies around governance
  • No open-source models
  • Can be cost-prohibitive at scale

  • Pricing


  • **GPT-4o**: $2.50 per 1M input tokens, $10 per 1M output
  • **GPT-4 Turbo**: $10 per 1M input, $30 per 1M output
  • **GPT-3.5 Turbo**: $0.50 per 1M input, $1.50 per 1M output
  • **ChatGPT Plus**: $20/month for consumers