Qwen: Qwen3.6 Plus Preview
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Qwen 3.6 Plus Preview is a next-generation large language model from Alibaba's Qwen team, built on a hybrid architecture designed for improved efficiency and scalability. Released as an early preview in March 2026, it succeeds the Qwen 3.5 Plus series with stronger reasoning and more reliable agentic behavior.
The model offers a 1-million-token context window and up to 65,536 output tokens, making it well suited for processing large codebases, lengthy documents, or multi-step workflows in a single request. It supports tool use and function calling natively, with built-in chain-of-thought reasoning that is always active.
Qwen 3.6 Plus Preview is particularly strong in agentic coding, front-end component generation, and complex problem-solving. It's a good fit for developers building AI-driven code review tools, multi-step agents, or applications that benefit from deep reasoning over large inputs.
Context Window 1M
tokens
Max Output 32K
tokens
Input Cost $0
per million tokens
Output Cost $0
per million tokens
Release Date Mar 30, 2026
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>
More AI Models From Qwen
Qwen3.6 Plus
Qwen 3.6 Plus is Alibaba's flagship large language model, built on a hybrid architecture combining linear attention with sparse mixture-of-experts routing for high throughput and scalability. It's optimized for agentic coding and complex multi-step workflows. On Terminal-Bench 2.0, it scores 61.6, surpassing Claude 4.5 Opus (59.3), while its 78.8 on SWE-bench Verified places it close behind. It also leads on MCPMark (48.2%) for tool-calling reliability. A native multimodal model, it handles text, images, and documents within a 1M-token context window with up to 65K output tokens. Notable features include always-on chain-of-thought reasoning, native function calling, and a preserve_thinking parameter that retains reasoning across multi-turn agent loops. A strong fit for developers building AI coding agents, terminal automation, and tool-using pipelines.
ChatQwen3.5-9B
Qwen 3.5 9B is a 9-billion parameter open-source multimodal model by Alibaba's Qwen Team, featuring a 262K native context window (extendable to ~1M tokens), support for text, image, and video input, and coverage of 201 languages. It uses a hybrid Gated DeltaNet architecture and outperforms much larger models like Qwen3-30B and OpenAI's gpt-oss-120B on key benchmarks including reasoning, vision, and document understanding.
ChatQwen3.5-122B-A10B
Qwen 3.5 122B (10B Active) is Alibaba's largest medium-sized MoE model, activating only 10B of its 122B total parameters per inference pass. It excels at agentic tasks like tool use and multi-step reasoning, leading the Qwen 3.5 lineup on benchmarks such as BFCL-V4 and BrowseComp. It supports 262K native context (extendable to 1M), native multimodal input, and 201 languages under Apache 2.0.
Frequently Asked Questions
You can access Qwen3.6 Plus Preview by Qwen through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen3.6 Plus Preview to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0 |
| Output | $0 |
Qwen3.6 Plus Preview was created by Qwen and released on Mar 30, 2026.
Qwen3.6 Plus Preview supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.
Qwen3.6 Plus Preview can generate up to 32K tokens in a single response.
Yes — the Qwen3.6 Plus Preview 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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