---
title: Qwen2.5 72B Instruct — Powerful LLM | ModelsLab
description: Access Qwen2.5 72B Instruct API for coding, math, and 128K context tasks. Generate structured JSON outputs across 29+ languages now.
url: https://modelslab.com/qwen25-72b-instruct
canonical: https://modelslab.com/qwen25-72b-instruct
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:01:40.663870Z
---

Available now on ModelsLab · Language Model

Qwen2.5 72B Instruct
Reason Deeply. Code Precisely
---

[Try Qwen2.5 72B Instruct](/models/open_router/qwen-qwen-2.5-72b-instruct) [API Documentation](https://docs.modelslab.com)

Master Complex Tasks
---

Coding Mastery

### Advanced Code Generation

Handles complex programming with specialized math and coding knowledge.

Long Context

### 128K Token Support

Processes up to 131K input tokens and generates 8K outputs via Qwen2.5 72B Instruct API.

Multilingual Power

### 29+ Languages

Supports Chinese, English, French, and more for global structured data tasks.

Examples

See what Qwen2.5 72B Instruct can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/qwen-qwen-2.5-72b-instruct).

Python Algorithm

“Write a Python function using dynamic programming to solve the longest common subsequence problem for two input strings, include time complexity analysis and test cases.”

JSON Data Parser

“Parse this JSON table of sales data across regions and generate a structured summary report with totals by quarter in markdown format.”

Math Proof

“Prove the fundamental theorem of calculus step-by-step, using chain of thought reasoning, and provide a numerical example with derivatives.”

Multilingual Summary

“Summarize this English article on AI ethics in French, preserving key technical terms and outputting in JSON with original and translated sections.”

For Developers

A few lines of code.
Inference. Four 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 Qwen2.5 72B Instruct
---

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

### What is Qwen2.5 72B Instruct API?

### qwen2 5 72b instruct model context length?

### Does qwen2.5 72b instruct API support function calling?

### Qwen2.5 72B Instruct alternative to Llama?

### qwen2.5 72b instruct model languages?

### Fine-tune Qwen2.5 72B Instruct model?

Ready to create?
---

Start generating with Qwen2.5 72B Instruct on ModelsLab.

[Try Qwen2.5 72B Instruct](/models/open_router/qwen-qwen-2.5-72b-instruct) [API Documentation](https://docs.modelslab.com)

---

*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*