---
title: Arcee AI: Virtuoso Large — Advanced Reasoning LLM | Mod...
description: Access Arcee AI: Virtuoso Large API for 72B parameter reasoning, creative writing and 128k context. Generate complex responses via LLM endpoint now.
url: https://modelslab.com/arcee-ai-virtuoso-large
canonical: https://modelslab.com/arcee-ai-virtuoso-large
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T04:00:53.869341Z
---

Available now on ModelsLab · Language Model

Arcee AI: Virtuoso Large
Reason Deep. Context Vast.
---

[Try Arcee AI: Virtuoso Large](/models/open_router/arcee-ai-virtuoso-large) [API Documentation](https://docs.modelslab.com)

![Arcee AI: Virtuoso Large](https://assets.modelslab.ai/generations/9a2e71d3-3c00-4738-a62c-be4c7eb02beb.png)

Deploy Virtuoso Power.
---

72B Parameters

### Cross-Domain Reasoning

Handles complex reasoning, creative writing and enterprise QA with Qwen 2.5 base.

128k Context

### Ingest Full Documents

Processes books, codebases or financial filings in single pass unlike peers.

Low Latency

### Production Optimized

KV-cache optimizations deliver first-token latency in low seconds on H100 nodes.

Examples

See what Arcee AI: Virtuoso Large can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/arcee-ai-virtuoso-large).

Code Analysis

“Analyze this 50k token Python codebase for security vulnerabilities, optimization opportunities and refactoring suggestions. Output structured report with code snippets.”

Financial Summary

“Summarize key risks, revenue trends and executive recommendations from this 100k token annual financial filing. Include quantitative metrics and comparisons.”

Creative Story

“Write a 2000-word sci-fi thriller set in 2147 where AI governs cities. Focus on moral dilemmas, vivid world-building and twist ending.”

Math Proof

“Prove Fermat's Last Theorem for n=3 using elementary methods. Provide step-by-step derivation with equations and verify with numerical examples.”

For Developers

A few lines of code.
Virtuoso reasoning. 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 ](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 Arcee AI: Virtuoso Large
---

[Read the docs ](https://docs.modelslab.com)

### What is Arcee AI: Virtuoso Large?

### How large is Arcee AI: Virtuoso Large context window?

### What is Arcee AI: Virtuoso Large API used for?

### Is Arcee AI: Virtuoso Large good for reasoning benchmarks?

### What makes Arcee AI: Virtuoso Large alternative stand out?

### How to access arcee ai virtuoso large api?

Ready to create?
---

Start generating with Arcee AI: Virtuoso Large on ModelsLab.

[Try Arcee AI: Virtuoso Large](/models/open_router/arcee-ai-virtuoso-large) [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*