---
title: Qwen 2 72B — Open Source LLM | ModelsLab
description: Deploy Qwen 2 72B for multilingual reasoning, coding, and math. Fast inference, 131k context window. Try the open-source alternative today.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-2-72b
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-2-72b
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:42:54.241620Z
---

Available now on ModelsLab · Language Model

Qwen 2 (72B)
Open source reasoning at scale
---

[Try Qwen 2 (72B)](/models/together_ai/Qwen-Qwen2-72B) [API Documentation](https://docs.modelslab.com)

Deploy Production-Ready Intelligence
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Multilingual Mastery

### 29 Languages, One Model

Qwen 2 72B handles 29+ languages with native proficiency for global applications.

Extended Context

### 131K Token Window

Process long documents, conversations, and complex reasoning in single requests.

Technical Excellence

### Coding and Math Specialist

Advanced performance on HumanEval, MBPP, GSM8K, and MATH benchmarks.

Examples

See what Qwen 2 (72B) can create
---

Copy any prompt below and try it yourself in the [playground](/models/together_ai/Qwen-Qwen2-72B).

Data Analysis

“Analyze this CSV dataset and generate a Python script that identifies trends, calculates statistical summaries, and produces a JSON report with key insights.”

Technical Documentation

“Write comprehensive API documentation for a REST service with authentication, rate limiting, and error handling. Include code examples in Python and JavaScript.”

Mathematical Problem

“Solve this system of differential equations step-by-step, explain the methodology, and provide the general solution with boundary condition analysis.”

Multilingual Support

“Translate this technical specification into Spanish, French, and Mandarin Chinese, maintaining terminology consistency and technical accuracy.”

For Developers

A few lines of code.
Reasoning. Code. Scale.
---

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 Qwen 2 (72B)
---

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

### What makes Qwen 2 72B different from other open-source LLMs?

Qwen 2 72B combines 72 billion parameters with advanced architecture (SwiGLU activation, group query attention) for superior language understanding, multilingual support, and coding performance. It matches proprietary model capabilities at a fraction of the cost.

### How large is the context window for Qwen 2 72B?

Qwen 2 72B supports a 131k token context window, enabling processing of long documents, extended conversations, and complex multi-step reasoning in single API calls.

### Is Qwen 2 72B good for coding tasks?

Yes. Qwen 2 72B excels on coding benchmarks including HumanEval and MBPP, with strong performance in mathematical problem-solving on GSM8K and MATH datasets.

### What languages does Qwen 2 72B support?

Qwen 2 72B provides native support for 29+ languages with an adaptive tokenizer optimized for both natural languages and programming languages.

### Can I use Qwen 2 72B for production applications?

Yes. Qwen 2 72B is production-ready with reliable structured output generation, robust tool selection for function calling, and proven performance across enterprise use cases.

### How does Qwen 2 72B pricing compare to proprietary models?

As an open-source model, Qwen 2 72B offers significant cost advantages over proprietary alternatives, making high-volume applications economically feasible.

Ready to create?
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Start generating with Qwen 2 (72B) on ModelsLab.

[Try Qwen 2 (72B)](/models/together_ai/Qwen-Qwen2-72B) [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 - 2026-05-13*