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Anthropic: Claude Opus 4.1Code Agents Mastered

Try Anthropic: Claude Opus 4.1API Documentation

Deploy Claude Precision

Coding Leap

74.5% SWE-bench Score

Handles multi-file refactoring and precise bug fixes in large codebases.

Agentic Power

Long-Horizon Tasks

Executes complex workflows with tool use and sustained reasoning up to hours.

Hybrid Reasoning

Configurable Thinking

Balances rapid responses and extended chain-of-thought via API budgets.

Examples

See what Anthropic: Claude Opus 4.1 can create

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

Code Refactor

“Refactor this 500-line Python module for better modularity: handle async I/O, add type hints, optimize database queries, preserve all functionality, output full revised code with comments.”

Agent Workflow

“Plan and execute a market analysis agent: fetch latest tech stock data via API, synthesize trends, generate executive summary with charts in Markdown, track details across 10 sources.”

Research Synthesis

“Analyze quantum computing papers from 2025: extract key advancements in error correction, compare architectures, produce 1000-word report with citations and future implications.”

Debug Session

“Debug this Node.js app crashing under load: review logs, trace memory leaks, suggest fixes with code patches, test edge cases, explain root causes step-by-step.”

For Developers

A few lines of code.
Agents live. 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
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 4.1

Read the docs

Anthropic: Claude Opus 4.1 API provides access to the hybrid reasoning LLM for coding and agents. It supports 200K token context and thinking budgets. Same pricing as Opus 4.

Scores 74.5% on SWE-bench Verified for multi-file edits and bug fixes. Excels in frontend generation and style adaptation. Handles end-to-end development autonomously.

Yes, matches Opus 4 API footprint and pricing. Delivers incremental gains in precision. Available on Anthropic API, Bedrock, Vertex AI.

Consider Claude Sonnet 4 for balanced speed or Haiku for latency-sensitive tasks. Opus 4.1 leads in complex coding and research. Evaluate via benchmarks.

Supports tool-assisted workflows and long chains. Builds memory files for coherence. Ideal for research synthesis and multi-step execution.

Through Anthropic API, Amazon Bedrock, Google Vertex AI. Paid Claude plans include extended thinking. Integrates with local file access.

Ready to create?

Start generating with Anthropic: Claude Opus 4.1 on ModelsLab.

Try Anthropic: Claude Opus 4.1API Documentation