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Anthropic: Claude Opus 4Anthropic: Claude Opus 4

Try Anthropic: Claude Opus 4API Documentation

Master Complex Reasoning Tasks

Top Coding Model

Sustained Long-Running Performance

Handles thousands of steps in agent workflows for engineering and research.

Hybrid Reasoning

Extended Thinking Mode

Switches between instant responses and deep analysis for precise problem-solving.

Memory Enhanced

Autonomous Agent Building

Creates memory files for long-term coherence in multi-session tasks.

Examples

See what Anthropic: Claude Opus 4 can create

Copy any prompt below and try it yourself in the playground.

Code Refactor

“Refactor this Python function for efficiency, handling edge cases with error logging and type hints. Preserve original functionality while optimizing loops and memory usage.”

Agent Workflow

“Design autonomous agent to analyze sales data: query database, identify trends, generate report with charts, and suggest optimizations step-by-step.”

Research Synthesis

“Synthesize key insights from quantum computing papers: summarize advancements, compare approaches, predict future impacts on cryptography.”

Debug Session

“Debug this Node.js app crashing on high load: trace memory leaks, profile performance, propose fixes with tests for scalability.”

For Developers

A few lines of code.
Opus 4. One API 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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Anthropic: Claude Opus 4

Read the docs

Anthropic: Claude Opus 4 API provides access to frontier LLM for coding and reasoning. Available via unified endpoints on platforms like ModelsLab. Supports hybrid modes for instant or extended thinking.

Leads benchmarks like SWE-bench at 72.5%. Delivers sustained performance on complex, hours-long tasks. Ideal for autonomous software development.

Builds AI agents for legal review, research synthesis, and agentic search. Combines tool use with improved memory for multi-step workflows.

Priced at $15/$75 per million tokens input/output. Matches prior Opus models. Balances power with production scalability.

Hybrid reasoning with extended thinking mode. Superior memory via local file access. Outperforms priors on long-horizon tasks.

Integrates with AWS Bedrock, Google Vertex AI, Databricks. Use ModelsLab endpoint for secure, governed access across clouds.

Ready to create?

Start generating with Anthropic: Claude Opus 4 on ModelsLab.

Try Anthropic: Claude Opus 4API Documentation