---
title: Qwen2.5 72B Instruct Turbo — Fast LLM | ModelsLab
description: Access Qwen2.5 72B Instruct Turbo API for rapid instruction following, coding, and math tasks. Generate high-quality outputs at 35 tokens per second. Tr...
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen25-72b-instruct-turbo
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen25-72b-instruct-turbo
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T08:41:55.266199Z
---

Available now on ModelsLab · Language Model

Qwen2.5 72B Instruct Turbo
Turbocharge Qwen2.5 72B
---

[Try Qwen2.5 72B Instruct Turbo](/models/qwen/Qwen-Qwen2.5-72B-Instruct-Turbo) [API Documentation](https://docs.modelslab.com)

Run Turbo. Scale Fast.
---

Turbo Speed

### 35 Tokens Per Second

Qwen2.5 72B Instruct Turbo hits 35 output tokens per second with 32K context.

Precision Tasks

### Superior Instruction Following

Handles complex coding, math, and structured JSON outputs reliably.

Efficient Context

### 32K Token Window

Reduced from 128K for faster inference on Qwen2.5 72B Instruct Turbo API.

Examples

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

Copy any prompt below and try it yourself in the [playground](/models/qwen/Qwen-Qwen2.5-72B-Instruct-Turbo).

Code Generator

“Write a Python function to parse JSON data from a REST API, handle errors, and return structured output as a Pandas DataFrame. Include type hints and docstring.”

Math Solver

“Solve this equation step-by-step: Find x in 3x^2 + 5x - 2 = 0 using quadratic formula. Explain each step and verify the solution.”

JSON Formatter

“Convert this unstructured text into valid JSON schema: User data includes name, age 30, city Tokyo, skills Python JavaScript. Ensure strict JSON output.”

Instruction Chain

“You are a coding assistant. First analyze the problem, then write Rust code for a binary search tree insertion, and finally add unit tests.”

For Developers

A few lines of code.
Turbo LLM. 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 Qwen2.5 72B Instruct Turbo
---

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

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

Qwen2.5 72B Instruct Turbo is a speed-optimized variant of Alibaba's 72B LLM. It reduces context to 32K tokens from 128K for faster performance. Delivers strong coding and math results.

### How fast is qwen2 5 72b instruct turbo?

Achieves 35 tokens per second output speed. Latency averages 3.2 seconds. Outpaces models like Llama 3.1 in balanced quality-speed tasks.

### What is Qwen2.5 72B Instruct Turbo context window?

Supports 32K tokens maximum, optimized for efficiency. Standard Qwen2.5 72B Instruct uses 128K. Ideal for tasks under full context needs.

### Does Qwen2.5 72B Instruct Turbo API support function calling?

Yes, includes function calling and JSON schema support. No vision or audio modalities. Text-only with system messages enabled.

### Is Qwen2.5 72B Instruct Turbo a good alternative?

Serves as fast Qwen2.5 72B Instruct Turbo alternative for speed-critical apps. Open-source under Apache 2.0. Quality index at 75 with multilingual support.

### What are qwen2 5 72b instruct turbo api benchmarks?

MMLU-Pro at 0.7, MATH-500 at 0.9, coding index 11.9. Time to first token 1.13s. Excels in instruction following and agent workflows.

Ready to create?
---

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

[Try Qwen2.5 72B Instruct Turbo](/models/qwen/Qwen-Qwen2.5-72B-Instruct-Turbo) [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*