Qwen: Qwen3 4B

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Qwen3 4B is a small dense model in Alibaba's Qwen3 family, released in April 2025. It supports hybrid thinking modes, switching between step-by-step reasoning for math, coding, and logic and a faster non-thinking mode for general dialogue. The mode can be toggled per request, including with /think and /no_think tags in prompts.

The Qwen team reports that it rivals the much larger Qwen2.5-72B-Instruct, though independent evaluations have been more mixed. It handles 119 languages and dialects and supports tool calling, with the Qwen-Agent framework recommended for agent workloads.

Native context is 32K tokens, extendable to 131K with YaRN scaling. It fits developers who want reasoning and multilingual coverage at low cost, such as high-volume chat, translation, or lightweight agent tasks.

Context Window 131K

tokens

Max Output 8K

tokens

Input Cost $0.11

per million tokens

Output Cost $0.42

per million tokens

Tool Use Yes

Release Date Apr 29, 2025

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Frequently Asked Questions

How do I use Qwen3 4B?

Qwen3 4B is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Qwen3 4B?

Qwen3 4B costs $0.11 per 1M input tokens and $0.42 per 1M output tokens.

	Price per 1M tokens
Input	$0.11
Output	$0.42

Who created Qwen3 4B?

Qwen3 4B was created by Qwen and released on Apr 29, 2025.

What is the context window of Qwen3 4B?

Qwen3 4B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Qwen3 4B?

Qwen3 4B can generate up to 8K tokens in a single response.

Does Qwen3 4B support tool use (function calling)?

Yes, Qwen3 4B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Qwen3 4B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

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