Qwen: Qwen3.7 Plus

qwen/qwen3.7-plus

Try Qwen3.7 Plus 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/qwen3.7-plus"
}).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/qwen3.7-plus"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

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.

Context Window 1M

tokens

Max Output 66K

tokens

Input Cost $0.5

per million tokens

Output Cost $3

per million tokens

Input text, image, video

modalities

Tool Use Yes

Release Date Jun 2, 2026

Output Speed 55

tokens / sec

Latency 1.66s

time to first token

Try Qwen3.7 Plus for free

Try Qwen3.7 Plus instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat qwen/qwen3.7-plus

Chat with Qwen3.7 Plus

Benchmarks

How Qwen3.7 Plus performs on standard evaluations.

Artificial Analysis

Intelligence Index

25.2

Better than 77% of tracked models

Artificial Analysis

Coding Index

55.9

Better than 63% of tracked models

Benchmark	Score
GPQA Diamond Graduate-level science Q&A	90.0%
Humanity's Last Exam Cross-domain reasoning	35.6%
SciCode Scientific programming	46.1%
IFBench Instruction following	78.0%
LCR Long-context reasoning	73.0%
Terminal-Bench Hard Agentic terminal tasks	47.0%
τ²-Bench Tool use / agents	93.0%

Scores sourced from Artificial Analysis.

Find other Qwen models →

Chat

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.

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Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter multimodal model from Alibaba's Qwen team, purpose-built for agentic coding and repository-level reasoning. It scores 77.2% on SWE-bench Verified and 59.3% on Terminal-Bench 2.0, outperforming the previous-generation Qwen3.5-397B-A17B across all major coding benchmarks despite being far smaller. It natively supports text, image, and video inputs with a 262K-token context window, extendable to 1M tokens. A standout feature is Thinking Preservation, which retains reasoning traces across conversation turns — reducing redundant computation in multi-step agent loops. The model uses a hybrid attention architecture combining Gated DeltaNet with traditional self-attention. Ideal for developers building coding agents, multi-turn tool-use workflows, or frontend generation pipelines.

Chat

Qwen3.6 Max Preview

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.

Frequently Asked Questions

How do I use Qwen3.7 Plus?

You can access Qwen3.7 Plus 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.

Can I try Qwen3.7 Plus for free?

Qwen3.7 Plus 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.

Is the Qwen3.7 Plus API free for developers?

Qwen3.7 Plus 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.

What is the pricing for Qwen3.7 Plus?

Qwen3.7 Plus costs $0.5 per 1M input tokens and $3 per 1M output tokens.

	Price per 1M tokens
Input	$0.5
Output	$3

Who created Qwen3.7 Plus?

Qwen3.7 Plus was created by Qwen and released on Jun 2, 2026.

What is the context window of Qwen3.7 Plus?

Qwen3.7 Plus supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.

What is the max output length of Qwen3.7 Plus?

Qwen3.7 Plus can generate up to 66K tokens in a single response.

What types of input can Qwen3.7 Plus process?

Qwen3.7 Plus accepts the following input types: text, image, video. It produces: text.

Does Qwen3.7 Plus support tool use (function calling)?

Yes, Qwen3.7 Plus supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Qwen3.7 Plus perform on benchmarks?

Qwen3.7 Plus scores 25.2 on the Artificial Analysis Intelligence Index, outperforming 77% of tracked models. On coding, it scores 55.9 (outperforms 63% of models).

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

Yes — the Qwen3.7 Plus 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 Qwen3.7 Plus to your app for free

Developers can integrate Qwen3.7 Plus for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

Get started How pricing works