Anthropic: Claude Sonnet 4.5
Anthropic Claude Sonnet 4.5

Code Agents Autonomously
Top Coding
77.2% SWE-Bench Score
Handles 30+ hour autonomous coding sessions on complex projects.
Hybrid Reasoning
200K Token Context
Toggles fast execution and extended thinking for logic challenges.
Computer Control
61.4% OSWorld
Analyzes screenshots, executes clicks and navigation directly.
Examples
See what Anthropic: Claude Sonnet 4.5 can create
Copy any prompt below and try it yourself in the playground.
Code Database App
“Build a full-stack web app with PostgreSQL database, user authentication, REST API endpoints, and deployment script using Node.js and React. Include error handling, security best practices, and Docker configuration for production.”
Agent Workflow
“Design an autonomous agent that monitors system logs, detects anomalies using statistical analysis, generates alerts via email/Slack, and auto-remediates common issues like high CPU by scaling resources. Use Python with tool calls.”
Math Proof
“Prove the infinitude of primes using contradiction, then extend to Dirichlet's theorem on arithmetic progressions. Provide step-by-step reasoning with formal notation and verify with numerical examples up to 1000.”
Refactor Codebase
“Analyze this 10K-line Python codebase for performance bottlenecks, refactor using async/await patterns, add type hints, unit tests with pytest, and optimize database queries. Output diff and explanation.”
For Developers
A few lines of code.
Agents. Three lines.
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())
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