Qwen: Qwen Plus (Latest)
qwen/qwen-plus-latest
Try Qwen Plus (Latest) for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "qwen/qwen-plus-latest"
}).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/qwen-plus-latest"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Qwen Plus (Latest) is the rolling alias of Alibaba's Qwen Plus model, served through Alibaba Cloud Model Studio. Qwen Plus sits between Qwen Max and Qwen Turbo in capability and speed.
Alibaba states that this alias changes without prior notice, so the underlying model can differ over time. It has a 1 million token context window and a maximum output of 32,768 tokens, and it accepts and returns text only. The Model Studio page lists separate prices for thinking and non-thinking output. On the international (Singapore) endpoint, function calling is listed as unsupported.
Alibaba publishes no release notes or benchmark scores for the alias itself. It suits prototyping and long-document work where tracking the newest Qwen Plus is acceptable. For reproducible behavior in production, use a dated snapshot such as qwen-plus-2025-12-01.
Context Window 1M
tokens
Max Output 33K
tokens
Input Cost $0.4
per million tokens
Output Cost $1.2
per million tokens
Input text
modalities
Tool Use No
Release Date Jul 31, 2025
Try Qwen Plus (Latest) for free
Try Qwen Plus (Latest) instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Qwen
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.
ChatQwen3.7 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.
ChatQwen3.6 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
You can access Qwen Plus (Latest) 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.
Qwen Plus (Latest) is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Qwen Plus (Latest) is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.4 |
| Output | $1.2 |
Qwen Plus (Latest) was created by Qwen and released on Jul 31, 2025.
Qwen Plus (Latest) supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.
Qwen Plus (Latest) can generate up to 33K tokens in a single response.
Qwen Plus (Latest) accepts the following input types: text. It produces: text.
No, Qwen Plus (Latest) does not currently support tool use (function calling).
Yes — the Qwen Plus (Latest) 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.
Add Qwen Plus (Latest) to your app for free
Developers can integrate Qwen Plus (Latest) for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.