Qwen: Qwen3.7 Max

Q: Is Qwen3.7 Max free?

Yes, it is free if you're using it through Puter.js . With the User-Pays Model , you can add Qwen3.7 Max to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

qwen/qwen3.7-max

Access Qwen3.7 Max 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/qwen3.7-max"
}).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-max"
        }).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/qwen3.7-max",
    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/qwen3.7-max",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

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.

Context Window 1M

tokens

Max Output 66K

tokens

Input Cost $2.5

per million tokens

Output Cost $7.5

per million tokens

Input text

modalities

Tool Use Yes

Release Date May 21, 2026

Model Playground

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

Chat qwen/qwen3.7-max

Chat with Qwen3.7 Max

Benchmarks

How Qwen3.7 Max performs on standard evaluations.

Artificial Analysis

Intelligence Index

56.6

Better than 98% of tracked models

Artificial Analysis

Coding Index

50.1

Better than 97% of tracked models

Benchmark	Score
GPQA Diamond Graduate-level science Q&A	92.3%
Humanity's Last Exam Cross-domain reasoning	38.1%
SciCode Scientific programming	48.8%
IFBench Instruction following	80.5%
LCR Long-context reasoning	69.0%
Terminal-Bench Hard Agentic terminal tasks	50.8%
τ²-Bench Tool use / agents	94.7%

Scores sourced from Artificial Analysis.

Find other Qwen models →

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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.

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Qwen3.5 Plus 2026-04-20

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

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.

Frequently Asked Questions

How do I use Qwen3.7 Max?

You can access Qwen3.7 Max 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 Qwen3.7 Max free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen3.7 Max 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 Qwen3.7 Max?

Qwen3.7 Max costs $2.5 per 1M input tokens and $7.5 per 1M output tokens.

	Price per 1M tokens
Input	$2.5
Output	$7.5

Who created Qwen3.7 Max?

Qwen3.7 Max was created by Qwen and released on May 21, 2026.

What is the context window of Qwen3.7 Max?

Qwen3.7 Max 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 Max?

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

What types of input can Qwen3.7 Max process?

Qwen3.7 Max accepts the following input types: text. It produces: text.

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

Yes, Qwen3.7 Max 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 Max perform on benchmarks?

Qwen3.7 Max scores 56.6 on the Artificial Analysis Intelligence Index, outperforming 98% of tracked models. On coding, it scores 50.1 (outperforms 97% of models).

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

Yes — the Qwen3.7 Max 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 Qwen3.7 Max to your app without worrying about API keys or setup.

Read the Docs View Tutorials