Happy Horse 1.0 is now on ModelsLab

Try Now
Skip to main content
Available now on ModelsLab · Language Model

Qwen 2 (72B)Open source reasoning at scale

Try Qwen 2 (72B)API Documentation

Deploy Production-Ready Intelligence

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.

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 
import requests


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

FAQ

Common questions about Qwen 2 (72B)

Read the docs

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.

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.

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

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

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.

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

Ready to create?

Start generating with Qwen 2 (72B) on ModelsLab.

Try Qwen 2 (72B)API Documentation