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Anthropic Claude
Safety-first LLMs with 200K context — Claude Sonnet, Haiku, and Opus.
0Licensed
LLM Platforms
Overview
Anthropic's Claude is a family of safety-focused large language models available via API, known for long context windows, strong reasoning, and reliable instruction following.
Available Models
— may change as new versions release| Model | Context | Best For | Cost Tier |
|---|---|---|---|
| Claude Opus 4.8 | 200K | Most complex tasks, deep research, autonomous agents | Premium $$$$ |
| Claude Sonnet 4.6 | 200K | Balanced intelligence and speed, coding, analysis | Mid $$ |
| Claude Haiku 4.5 | 200K | Fast, lightweight tasks, high-volume pipelines | Low $ |
Key Features
- 200K token context window for long documents
- Claude 3.5 Sonnet — best-in-class coding and reasoning
- Claude Haiku — fastest and most cost-efficient
- Tool use (function calling) for agentic workflows
- Vision support for image understanding
- Constitutional AI for safer, more predictable outputs
- Batch API for high-volume async processing
Real-World Workflows
Analyze entire codebases in a single prompt
- 1Use Claude's 200K context to load an entire repository
- 2Ask for security vulnerabilities, architecture review, or refactor suggestions
- 3Claude reasons across the full codebase without chunking
- 4Export findings as a structured report
Document summarization pipeline
- 1Feed 50+ page PDFs directly into Claude's context
- 2Request structured summaries with key points and action items
- 3Use tool use to extract entities and store them in a database
- 4Run via Batch API for cost-effective bulk processing
Getting Started
pip install anthropic
import anthropic
client = anthropic.Anthropic() # uses ANTHROPIC_API_KEY
message = client.messages.create(
model='claude-sonnet-4-6',
max_tokens=1024,
messages=[{'role': 'user', 'content': 'Hello, Claude!'}]
)
print(message.content[0].text)Compare Alternatives
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