Qwen

Qwen: Qwen3.6 Max Preview

qwen/qwen3.6-max-preview

Access Qwen3.6 Max Preview from Qwen using Puter.js AI API.

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

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "qwen/qwen3.6-max-preview"
}).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", {
            model: "qwen/qwen3.6-max-preview"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="qwen/qwen3.6-max-preview",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "qwen/qwen3.6-max-preview",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Qwen3.6 Max Preview is Alibaba's most capable language model to date — a proprietary flagship that claimed the top score on six major coding benchmarks at its April 20, 2026 release.

It leads on SWE-bench Pro, Terminal-Bench 2.0, SkillsBench, QwenClawBench, QwenWebBench, and SciCode. The Artificial Analysis Intelligence Index rates it at 52, well above the median for reasoning models in its price tier. It supports a 256K-token context window and is text-only at launch.

As a preview release, Alibaba is still actively iterating on the model. Best suited for teams building coding agents, scientific computing tools, or frontend generation systems that need peak benchmark performance.

Context Window 262K

tokens

Max Output 66K

tokens

Input Cost $1.3

per million tokens

Output Cost $7.8

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff Apr 2025

 

Release Date Apr 20, 2026

 

Model Playground

Try Qwen3.6 Max Preview instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

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Qwen3.7 Plus

Qwen3.7 Plus is Alibaba's multimodal agent model, released in June 2026, combining vision-language understanding with full agentic capabilities across a 1 million-token context window. Unlike the text-only Qwen3.7 Max, Plus ingests images and video alongside text, processed through early-fusion training so vision and language are jointly understood from the first layer. This enables GUI grounding — the model can interpret screenshots and issue precise on-screen actions — scoring 79.0 on ScreenSpot Pro, placing it alongside Claude Computer Use and OpenAI Operator in the GUI automation tier. Beyond vision, it adds deep reasoning, self-programming, tool invocation, and autonomous iteration: the model writes and tests code, calls external APIs, and loops until the task is done. On the Artificial Analysis Intelligence Index it scores 53. Choose it over Qwen3.7 Max when your workflow requires image or video inputs, browser/desktop automation, or end-to-end agentic pipelines that combine seeing, reasoning, and doing.

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Qwen3.7 Max

Qwen3.7 Max is Alibaba's flagship proprietary reasoning model, released in May 2026, built for long-horizon agentic workloads with a 1 million-token context window and a chain-of-thought reasoning architecture. It is purpose-built for complex, multi-step autonomous tasks. Alibaba demonstrated the model running for 35 hours without degradation, executing over 1,000 tool calls in a single session — making it a strong candidate for coding agents, automated pipelines, and deep document analysis. On benchmarks, it ranks 13th globally on LM Arena's text leaderboard and scores 56.6 on the Artificial Analysis Intelligence Index, making it the highest-ranked Chinese model on that index. It posted 90.2 on Arena-Hard v2 and 72.5 on SWE-Bench Verified. Qwen3.7 Max supports the Anthropic API protocol natively, so it integrates cleanly with tooling like Claude Code. It is well-suited for developers building coding assistants, research agents, or any API use case requiring extended reasoning over large contexts.

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Qwen3.6 Flash

Qwen3.6 Flash is the speed-optimized tier of Alibaba's Qwen3.6 model family, designed for high-throughput, low-latency inference pipelines. It sits alongside Qwen3.6 Max Preview, Plus, and 35B-A3B in the product lineup, targeting use cases where fast response times matter more than peak benchmark scores. Like other Qwen3.6 models, it builds on a hybrid architecture combining linear attention with sparse mixture-of-experts routing. It is best suited for high-volume production workloads such as classification, extraction, summarization, and lightweight agent tasks where latency and cost efficiency are the primary constraints.

Frequently Asked Questions

How do I use Qwen3.6 Max Preview?

You can access Qwen3.6 Max 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.

Is Qwen3.6 Max Preview free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen3.6 Max 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.

What is the pricing for Qwen3.6 Max Preview?
Qwen3.6 Max Preview costs $1.3 per 1M input tokens and $7.8 per 1M output tokens.
Price per 1M tokens
Input$1.3
Output$7.8
Who created Qwen3.6 Max Preview?

Qwen3.6 Max Preview was created by Qwen and released on Apr 20, 2026.

What is the context window of Qwen3.6 Max Preview?

Qwen3.6 Max Preview supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.

What is the max output length of Qwen3.6 Max Preview?

Qwen3.6 Max Preview can generate up to 66K tokens in a single response.

What is the knowledge cutoff of Qwen3.6 Max Preview?

Qwen3.6 Max Preview 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 Qwen3.6 Max Preview process?

Qwen3.6 Max Preview accepts the following input types: text. It produces: text.

Does Qwen3.6 Max Preview support tool use (function calling)?

Yes, Qwen3.6 Max Preview 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 Qwen3.6 Max 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.

Get started with Puter.js

Add Qwen3.6 Max Preview to your app without worrying about API keys or setup.

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