Claude Opus 4

New
Popular
Anthropic
Text & Chat

Anthropic's most powerful model. Exceptional at complex analysis, agentic tasks, and extended reasoning.

Examples

See what Claude Opus 4 can generate

Deep Research

Analyze the economic implications of universal basic income. Consider arguments from both proponents and critics, citing specific pilot programs.

UBI has been tested in several notable pilot programs with mixed but informative results. Finland's 2017-2018 experiment gave 2,000 unemployed citizens €560/month and found improved well-being and modest employment gains, though critics noted the small sample size. Stockton, California's SEED program ($500/month to 125 residents) showed recipients were more likely to find full-time employment than the control group, challenging the 'laziness' argument. Proponents argue UBI provides a safety net that encourages entrepreneurship and addresses job displacement from automation. Critics counter that large-scale funding—estimated at $3+ trillion annually for the US—would require massive tax restructuring, and inflationary pressures could erode the benefit's purchasing power.

Agentic Planning

I need to migrate a monolithic Django app to microservices. Create a step-by-step migration plan with risk mitigation strategies.

Phase 1 (Weeks 1-4): Audit and map all domain boundaries in your monolith. Identify bounded contexts using domain-driven design principles. Document all inter-module dependencies and shared database tables. Phase 2 (Weeks 5-8): Implement the Strangler Fig pattern—deploy an API gateway that routes traffic to either the monolith or new services. Extract the least-coupled domain first (often authentication or notifications) as a proof of concept. Phase 3 (Weeks 9-16): Gradually extract remaining services. For each: create a dedicated database, implement an anti-corruption layer for data sync, and use event-driven communication (Kafka/RabbitMQ) instead of synchronous calls. Risk mitigation: Run services in parallel with the monolith ('dark launching') before cutting over. Implement distributed tracing (Jaeger/Zipkin) from day one. Keep rollback paths open by maintaining the monolith until each service proves stable in production for at least 2 sprint cycles.

Try Claude Opus 4

0.7

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Pricing

Price per Generation
Per generationFree

API Integration

Use our OpenAI-compatible API to integrate Claude Opus 4 into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

// Simple — just pass a string
const reply = await rw.run("claude-opus-4", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("claude-opus-4", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("claude-opus-4", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Context window
200,000 tokens
Max output
32,000 tokens
Avg. latency
5.0s
Provider
Anthropic
Category
Text & Chat
Tags
flagship
reasoning
agentic
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