---
title: Claude Opus 4.5 — Advanced Coding & Agentic AI | ModelsLab
description: Generate code, automate tasks, and build multi-agent systems with Claude Opus 4.5. Try frontier reasoning and autonomous workflows.
url: https://modelslab.com/anthropic-claude-opus-45
canonical: https://modelslab.com/anthropic-claude-opus-45
type: website
component: Seo/ModelPage
generated_at: 2026-04-14T22:39:49.765159Z
---

Available now on ModelsLab · Language Model

Anthropic: Claude Opus 4.5
Frontier reasoning. Autonomous agents.
---

[Try Anthropic: Claude Opus 4.5](/models/open_router/anthropic-claude-opus-4.5) [API Documentation](https://docs.modelslab.com)

Think First. Execute Better.
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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](/models/open_router/anthropic-claude-opus-4.5).

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.
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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 ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

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

FAQ

Common questions about Anthropic: Claude Opus 4.5
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[Read the docs ](https://docs.modelslab.com)

### What makes Claude Opus 4.5 different from other LLMs?

### How does the effort parameter work?

### Can Claude Opus 4.5 handle long-running tasks?

### What is the context window size?

### How does Anthropic Claude Opus 4.5 API pricing compare?

### Is Claude Opus 4.5 suitable for multi-agent systems?

Ready to create?
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Start generating with Anthropic: Claude Opus 4.5 on ModelsLab.

[Try Anthropic: Claude Opus 4.5](/models/open_router/anthropic-claude-opus-4.5) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*