---
title: Qwen2.5 3B Instruct — Efficient LLM | ModelsLab
description: Access Qwen2.5 3B Instruct API to generate structured outputs and code with 32K context in 29+ languages. Try qwen2.5 3b instruct now.
url: https://modelslab.com/qwen25-3b-instruct
canonical: https://modelslab.com/qwen25-3b-instruct
type: website
component: Seo/ModelPage
generated_at: 2026-04-29T21:06:01.579037Z
---

Available now on ModelsLab · Language Model

Qwen2.5 3B Instruct
Efficient Instructions, Maximum Output
---

[Try Qwen2.5 3B Instruct](/models/together_ai/Qwen-Qwen2.5-3B-Instruct) [API Documentation](https://docs.modelslab.com)

Deploy Qwen2.5 3B Instruct Now
---

32K Context

### Qwen2.5 3B Instruct

Handles 32,768 tokens input, generates 8K tokens for long texts and structured data.

Coding Math Boost

### qwen2 5 3b instruct

Excels in coding, mathematics, instruction following across 29+ languages.

JSON Outputs

### qwen2.5 3b instruct API

Produces reliable JSON and structured outputs for API integrations.

Examples

See what Qwen2.5 3B Instruct can create
---

Copy any prompt below and try it yourself in the [playground](/models/together_ai/Qwen-Qwen2.5-3B-Instruct).

Code Generator

“Write a Python function to sort a list of dictionaries by a key value, handle edge cases like empty lists and missing keys, output as executable code block.”

JSON Parser

“Parse this JSON data: {"items": \[{"name": "tool", "price": 10}, {"name": "gear", "price": 20}\]}, generate summary table in markdown with totals.”

Math Solver

“Solve quadratic equation ax^2 + bx + c = 0 for a=1, b=-3, c=2, explain steps, output roots in exact form.”

Text Summary

“Summarize key improvements in Qwen2.5 over Qwen2: more knowledge, coding, math, long texts, structured data, 128K context support.”

For Developers

A few lines of code.
Instruct. Generate. Deploy.
---

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 3B Instruct
---

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

### What is Qwen2.5 3B Instruct API?

Qwen2.5 3B Instruct API provides access to Alibaba's 3B parameter LLM for instruction tasks. Supports 32K context and 8K generation. Ideal for edge and mobile deployment.

### How does qwen2 5 3b instruct model perform?

Outperforms peers in coding, math, instruction following. Handles structured data like tables and JSON outputs. Multilingual for 29+ languages.

### What context length for Qwen2.5 3B Instruct?

Full 32,768 tokens context, up to 128K in variants. Generates up to 8K tokens reliably.

### Is Qwen2.5 3B Instruct alternative to larger models?

Yes, delivers enterprise capabilities in 3B size for resource limits. Apache 2.0 licensed, scales to Qwen ecosystem.

### qwen2.5 3b instruct model key features?

Improved knowledge, coding, math via experts. Better long-text, structured inputs/outputs. Resilient to diverse prompts.

### How to use qwen2.5 3b instruct API?

Integrate via LLM endpoint with system prompts. Supports role-play, CoT reasoning. Deploy on-demand for no limits.

Ready to create?
---

Start generating with Qwen2.5 3B Instruct on ModelsLab.

[Try Qwen2.5 3B Instruct](/models/together_ai/Qwen-Qwen2.5-3B-Instruct) [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 - 2026-04-30*