Qwen: Qwen3 30B A3B

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Qwen3 30B A3B is an efficient MoE model with 30B total and 3B active parameters, outperforming QwQ-32B while using 10x fewer active parameters. It offers hybrid thinking modes and 119 language support.

Context Window 41K

tokens

Max Output 33K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.4

per million tokens

Input text

modalities

Tool Use Yes

Knowledge Cutoff Apr 2025

Release Date Apr 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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Qwen3.5 Plus is a proprietary hosted model from Alibaba, built on the Qwen3.5-397B-A17B Mixture-of-Experts architecture with 397 billion total parameters and 17 billion active per token. Its headline feature is a 1-million-token native context window — among the largest available via API — making it well suited for processing entire codebases, long documents, or extended multi-turn conversations in a single request. It supports both a deep-thinking mode and an "Auto" mode that adaptively invokes tools like web search and code interpreters. This April 20, 2026 snapshot reflects ongoing improvements to the model since its original February 2026 launch. The Qwen3.5 series demonstrated strong multimodal performance across reasoning, coding, and vision tasks. A solid general-purpose option for developers needing large-context capabilities without migrating to the newer Qwen3.6 line.

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Qwen3.6 27B

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Frequently Asked Questions

How do I use Qwen3 30B A3B?

Qwen3 30B A3B is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Qwen3 30B A3B?

Qwen3 30B A3B costs $0.1 per 1M input tokens and $0.4 per 1M output tokens.

	Price per 1M tokens
Input	$0.1
Output	$0.4

Who created Qwen3 30B A3B?

Qwen3 30B A3B was created by Qwen and released on Apr 2025.

What is the context window of Qwen3 30B A3B?

Qwen3 30B A3B supports a context window of 41K tokens. For reference, that is roughly equivalent to 82 pages of text.

What is the max output length of Qwen3 30B A3B?

Qwen3 30B A3B can generate up to 33K tokens in a single response.

What is the knowledge cutoff of Qwen3 30B A3B?

Qwen3 30B A3B has a knowledge cutoff date of Apr 2025. This means the model was trained on data available up to that date.

What types of input can Qwen3 30B A3B process?

Qwen3 30B A3B accepts the following input types: text. It produces: text.

Does Qwen3 30B A3B support tool use (function calling)?

Yes, Qwen3 30B A3B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Qwen3 30B A3B perform on benchmarks?

Qwen3 30B A3B scores 6.6 on the Artificial Analysis Intelligence Index, outperforming 18% of tracked models. On math, it scores 21.7 (outperforms 23% of models).

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

Yes — the Qwen3 30B A3B 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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