---
title: Magnum v4 72B — Claude-Quality LLM | ModelsLab
description: Deploy Magnum v4 72B for creative writing, coding, and complex reasoning. 72B parameters, 16K context, $3/$5 per million tokens. Try now.
url: https://modelslab.com/magnum-v4-72b
canonical: https://modelslab.com/magnum-v4-72b
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:02:51.025774Z
---

Available now on ModelsLab · Language Model

Magnum v4 72B
Claude-Quality Prose. 72B Parameters.
---

[Try Magnum v4 72B](/models/open_router/anthracite-org-magnum-v4-72b) [API Documentation](https://docs.modelslab.com)

Enterprise-Grade LLM Capabilities
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Creative Excellence

### Claude-Level Prose Generation

Fine-tuned on Qwen2.5 to replicate Claude 3 Sonnet and Opus quality for nuanced text output.

Extended Context

### 16K Token Context Window

Process complex documents and maintain conversation history across multi-turn interactions seamlessly.

Production Ready

### Optimized for Scale

Supports quantization levels Q8 through Q4 for flexible deployment across hardware constraints.

Examples

See what Magnum v4 72B can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/anthracite-org-magnum-v4-72b).

Technical Documentation

“Write a comprehensive API integration guide for developers implementing OAuth 2.0 authentication in a Node.js microservices architecture, including code examples and security best practices.”

Creative Narrative

“Compose a detailed scene set in a cyberpunk Tokyo marketplace at dusk, focusing on sensory details, character interactions, and atmospheric tension without dialogue.”

Code Analysis

“Analyze this Python function for performance bottlenecks and refactor it using async/await patterns, explaining trade-offs between memory usage and execution speed.”

Customer Support

“Draft empathetic responses to three common SaaS billing inquiries: subscription cancellation, invoice disputes, and feature upgrade questions.”

For Developers

A few lines of code.
72B reasoning. Three lines.
---

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 Magnum v4 72B
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[Read the docs ](https://docs.modelslab.com)

### What is Magnum v4 72B and how does it compare to other LLMs?

### What's the maximum context window and output length?

### Can I use Magnum v4 72B with JavaScript frameworks?

### What quantization options are available for Magnum v4 72B?

### Is Magnum v4 72B suitable for production customer service applications?

Ready to create?
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Start generating with Magnum v4 72B on ModelsLab.

[Try Magnum v4 72B](/models/open_router/anthracite-org-magnum-v4-72b) [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*