Anthropic

AI safety company building Claude, the helpful, harmless, and honest AI assistant.

EstablishedLow lock-in

Pricing

Free tier

Usage-based

Adoption

Rising

License

Proprietary

Data freshness

Unverified

Overview

What is Anthropic?

Anthropic is an AI safety company that builds the Claude family of large language models. Claude is available via API, the Claude.ai consumer product, and through cloud provider partnerships (AWS Bedrock, Google Cloud Vertex AI). Claude models (Haiku, Sonnet, Opus) span the cost-performance spectrum from fast/cheap to powerful/expensive. Key differentiators include a 200K token context window, Constitutional AI training for safety, computer use capabilities, and strong performance on coding, analysis, and creative writing tasks.

Key differentiator

The longest context window (200K tokens) combined with best-in-class coding and Constitutional AI safety alignment.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Best-in-class long context handling (200K tokens)high

Can process entire codebases, long documents, and multi-turn conversations without degradation

Industry-leading coding capabilitieshigh

Claude consistently ranks at or near the top of coding benchmarks (SWE-bench, HumanEval)

Strong safety alignment with Constitutional AImedium

Fewer refusals on legitimate use cases while maintaining safety guardrails

Excellent tool use and structured outputmedium

Reliable function calling, JSON mode, and computer use capabilities for agentic workflows

↓ Weaknesses

No image generation or multimodal outputmedium

Claude can analyze images but cannot generate them — use DALL-E or Stable Diffusion for image creation

Limited availability in some regionslow

API access may be restricted in certain countries due to regulatory compliance

Higher cost for Opus tier compared to competitorsmedium

Claude Opus is priced at $15/$75 per 1M tokens vs GPT-4o at $2.50/$10

Fit analysis

Who is it for?

✓ Best for

Applications requiring long document analysis

200K context window handles entire codebases and long documents without chunking

Enterprise AI deployments needing safety guarantees

Constitutional AI training produces more predictable and steerable outputs

Coding assistants and developer tools

Top-tier code generation with strong instruction following and tool use

✕ Not a fit for

Image or video generation

Text-only output — pair with image generation models for multimodal applications

Latency-critical applications needing sub-100ms responses

LLM inference has inherent latency; Haiku is fastest but still ~200ms for short prompts

Cost structure

Pricing

Free Tier

Available

Free tier on claude.ai with rate limits. API has pay-as-you-go pricing

Starts at

$0.25/1M input tokens (Haiku)

Model

Usage-based

Enterprise

Available

Three tiers: Haiku (fast/cheap), Sonnet (balanced), Opus (most capable). Also available via AWS Bedrock and Google Vertex

View full pricing details ↗

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Works well with

Next step

Get Started with Anthropic

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →