Anthropic: Claude Opus 4.5
Frontier reasoning. Autonomous agents.
Think First. Execute Better.
Extended Thinking
Hybrid Reasoning Mode
Toggle between fast execution and deep reasoning for complex logical challenges.
Autonomous Operation
Self-Improving Agents
Spawn subagents, manage context, and refine capabilities autonomously across iterations.
Token Efficiency
Effort Control Parameter
Match top performance with 76% fewer tokens at medium effort settings.
Examples
See what Anthropic: Claude Opus 4.5 can create
Copy any prompt below and try it yourself in the playground.
Data Pipeline
“Build a Python data processing pipeline that reads CSV files, performs statistical analysis, and generates visualizations. Include error handling and logging.”
API Integration
“Create a REST API client that connects to multiple third-party services, handles authentication, rate limiting, and caches responses efficiently.”
System Architecture
“Design a scalable microservices architecture for an e-commerce platform with load balancing, database sharding, and message queuing.”
Workflow Automation
“Develop an autonomous workflow that monitors email, extracts structured data, updates spreadsheets, and sends notifications based on conditions.”
For Developers
A few lines of code.
Complex tasks. Fewer iterations.
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 Opus 4.5 on ModelsLab.