Anthropic

AI safety company behind Claude, focused on helpful, harmless, and honest AI

paidproductionclaudesafetyconstitutional-aiapiresearch

Memory Types

Integrations

api, langchain, llamaindex, aws-bedrock


Overview


Anthropic is an AI safety company founded by former OpenAI researchers, including Dario and Daniela Amodei. Having raised over $7 billion (including major investments from Google and Amazon), Anthropic focuses on building reliable, interpretable, and steerable AI systems. Their flagship product, Claude, is known for being helpful, harmless, and honest.


Claude models excel at thoughtful, nuanced responses with strong adherence to instructions. Anthropic pioneered "Constitutional AI" to align models with human values without extensive human feedback. Claude has become a top choice for applications requiring careful reasoning, strong safety properties, and large context windows.


Key Features


  • **Claude Opus**: Most capable model for complex tasks
  • **Claude Sonnet**: Balanced performance and speed
  • **Claude Haiku**: Fastest, most affordable option
  • **200K Context Window**: Process entire books or codebases
  • **Constitutional AI**: Built-in safety and alignment
  • **Vision Capabilities**: Image understanding in Claude 3+
  • **Function Calling**: Tool use and structured outputs
  • **AWS Bedrock**: Available through Amazon's platform

  • When to Use Anthropic


    Anthropic is ideal for:

  • Applications requiring large context windows
  • Use cases prioritizing safety and reliability
  • Complex reasoning and analysis tasks
  • Content requiring nuanced understanding
  • Organizations with strong AI ethics requirements
  • Applications processing long documents

  • Pros


  • Excellent reasoning and instruction following
  • Largest context window (200K tokens)
  • Strong safety and alignment
  • Constitutional AI approach
  • Available via AWS Bedrock
  • Regular model improvements
  • Good for complex, nuanced tasks
  • Strong financial backing

  • Cons


  • More expensive than some competitors
  • Smaller ecosystem than OpenAI
  • Limited model variety
  • Cloud-only (no self-hosting)
  • Fewer multimodal capabilities than GPT-4o
  • More conservative responses in some cases
  • Smaller developer community
  • Availability can be limited during high demand

  • Pricing


  • **Claude Opus 4**: $15 per 1M input tokens, $75 per 1M output
  • **Claude Sonnet 4**: $3 per 1M input, $15 per 1M output
  • **Claude Haiku 3**: $0.25 per 1M input, $1.25 per 1M output
  • **200K context**: Same pricing across all context lengths