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LLM APIs

Anthropic API

TypeScriptPythonRESTPaid

Claude's family of models leads on coding, analysis, and long-context tasks with a 200k token context window. Known for lower hallucination rates and nuanced instruction following.

License

Proprietary

Language

TypeScript / Python

Used for

AI & Machine Learning

Trust

Good

Why Anthropic API?

You need best-in-class coding or reasoning

Long context (200k tokens) is required

You want lower hallucination rates on factual tasks

Signal Breakdown

What drives the Trust Score

npm downloads

38M / wk

Commits (90d)

62 commits

GitHub stars

9.8k ★

Stack Overflow

4.1k q's

Community

High

Weighted Trust Score79 / 100

Download Trend

Last 12 months

Tradeoffs & Caveats

Know before you commit

You need a very large catalog of open-source model variants

Budget is tight and a smaller model suffices

You need real-time streaming at very high throughput

Pricing

Free tier & paid plans

Free tier

No free tier

Paid

$0.003/1K tokens (Haiku) · $0.015/1K (Sonnet)

Pay-per-use, no subscription

Cost Calculator

Estimate your Anthropic API cost

Tokens per month (millions)10 M tokens

1500

Estimated monthly cost

$12 – $150/mo

Haiku: ~$0.001/1K · Sonnet: ~$0.003/1K · Opus: ~$0.015/1K

Estimates only. Verify with official pricing pages before budgeting.

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Learning Resources

Docs, videos, tutorials, and courses

Anthropic API Docs

docs

Anthropic Cookbook — code examples

tutorial

Prompt library

docs

Get Started

Repository and installation options

View on GitHub

github.com/anthropic-ai/anthropic-sdk-node

npmnpm install @anthropic-ai/sdk

pippip install anthropic

Quick Start

Copy and adapt to get going fast

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

const message = await client.messages.create({
  model: 'claude-sonnet-4-6',
  max_tokens: 1024,
  messages: [{ role: 'user', content: 'Hello!' }],
});

console.log(message.content[0].text);

Code Examples

Common usage patterns

Streaming with TypeScript

Stream tokens in real time

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });

const stream = await client.messages.stream({
  model: 'claude-sonnet-4-6',
  max_tokens: 1024,
  messages: [{ role: 'user', content: 'Write a haiku.' }],
});

for await (const event of stream) {
  if (event.type === 'content_block_delta') {
    process.stdout.write(event.delta.text ?? '');
  }
}

Vision — analyze an image

Pass a base64 image or URL to Claude

const message = await client.messages.create({
  model: 'claude-sonnet-4-6',
  max_tokens: 1024,
  messages: [{
    role: 'user',
    content: [
      {
        type: 'image',
        source: { type: 'url', url: 'https://example.com/chart.png' },
      },
      { type: 'text', text: 'What does this chart show?' },
    ],
  }],
});

Tool use (function calling)

Let Claude call your functions

const response = await client.messages.create({
  model: 'claude-sonnet-4-6',
  max_tokens: 1024,
  tools: [{
    name: 'get_stock_price',
    description: 'Get the current stock price',
    input_schema: {
      type: 'object',
      properties: { ticker: { type: 'string' } },
      required: ['ticker'],
    },
  }],
  messages: [{ role: 'user', content: 'What is AAPL trading at?' }],
});

Community Notes

Real experiences from developers who've used this tool

import Anthropic from '@anthropic-ai/sdk'; const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); const message = await client.messages.create({ model: 'claude-sonnet-4-6', max_tokens: 1024, messages: [{ role: 'user', content: 'Hello!' }], }); console.log(message.content[0].text);

import Anthropic from '@anthropic-ai/sdk'; const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); const stream = await client.messages.stream({ model: 'claude-sonnet-4-6', max_tokens: 1024, messages: [{ role: 'user', content: 'Write a haiku.' }], }); for await (const event of stream) { if (event.type === 'content_block_delta') { process.stdout.write(event.delta.text ?? ''); } }

const message = await client.messages.create({ model: 'claude-sonnet-4-6', max_tokens: 1024, messages: [{ role: 'user', content: [ { type: 'image', source: { type: 'url', url: 'https://example.com/chart.png' }, }, { type: 'text', text: 'What does this chart show?' }, ], }], });

const response = await client.messages.create({ model: 'claude-sonnet-4-6', max_tokens: 1024, tools: [{ name: 'get_stock_price', description: 'Get the current stock price', input_schema: { type: 'object', properties: { ticker: { type: 'string' } }, required: ['ticker'], }, }], messages: [{ role: 'user', content: 'What is AAPL trading at?' }], });