Anthropic: Claude Sonnet 4.6
Code Agents Context Mastery
Scale Intelligence Effortlessly
Coding Leap
Anthropic: Claude Sonnet 4.6
Handles complex codebases with 1M token context window in beta.
Agent Planning
Computer Use Upgrade
Executes screen interactions like clicks and navigation for API-less software.
Reasoning Depth
Adaptive Thinking Mode
Controls effort for instant responses or extended step-by-step reasoning.
Examples
See what Anthropic: Claude Sonnet 4.6 can create
Copy any prompt below and try it yourself in the playground.
Code Refactor
“Refactor this 500-line Python script for a web scraper to use async requests, add error handling for rate limits, optimize memory usage, and output clean modular functions with type hints.”
Agent Workflow
“Plan and simulate an agent to automate filling a web form: navigate to login page, enter credentials, upload CSV file, submit, verify success, and log results using computer use tools.”
Long Context Summary
“Analyze this 800k token codebase: identify security vulnerabilities, suggest architectural improvements, generate unit test suite, and propose deployment script for AWS.”
Reasoning Chain
“Solve this multi-step math puzzle with adaptive thinking: optimize supply chain logistics for 50 warehouses, minimize costs under constraints, output Python model and visualization code.”
For Developers
A few lines of code.
Agents Code One Call
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Anthropic: Claude Sonnet 4.6 on ModelsLab.