Anthropic
Verified Large Language Models Est. 2021

Anthropic

An AI safety and research company building reliable, interpretable, and steerable AI systems.

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US Global

Amazon Investment

Up to $4 billion

Google Investment

$2 billion

Claude 3 Context Window

200K tokens

About Anthropic

Anthropic is a public-benefit corporation dedicated to developing AI responsibly. Founded by former OpenAI researchers, the company's core focus is on AI safety, using techniques like Constitutional AI to align their models with human values. Their flagship product family, Claude 3, includes models of varying capabilities and speeds (Haiku, Sonnet, and Opus) designed for tasks ranging from fast, simple queries to complex, multi-step reasoning. Developers can integrate these models into their own applications via a well-documented REST API and official SDKs, targeting use cases like summarization, content generation, coding, and conversational AI.

Claude 3 Model Family

Opus

Most powerful model for complex reasoning, research, and strategic analysis.

Sonnet

Balanced model for enterprise workloads, ideal for data processing and code generation.

Haiku

Fastest and most compact model for near-instant responsiveness and simple queries.

Core Principles

Ai Safety Research

Focus on creating steerable, robust, and interpretable AI systems to avoid potential harms.

Constitutional Ai

A training method to align models with a set of principles (a 'constitution') for safer outputs.

Public Benefit Corp

Structured to be accountable to the public good, not just shareholder profits.

Developer Platform

Console

Web-based interface for testing prompts, managing API keys, and monitoring usage.

Rest Api

Provides access to the Claude models for integration into any application.

Sdks

Official client libraries available for Python and TypeScript/JavaScript.

Free Credits

Offers a free tier of credits for developers to start building and experimenting.

Tags

API Global Enterprise
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Founded 2021
Founder(s) Dario Amodei, Daniela Amodei, Tom Brown, Chris Olah, Sam McCandlish, Jack Clark, Jared Kaplan
Country US
Coverage Global
Access Type Self-serve
Pricing Model Usage-based
Pricing Visibility Public
Auth Method API Key
Sandbox Available
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