Qwen: Qwen3.7 Max (2026-05-17)
qwen/qwen3.7-max-2026-05-17
Try Qwen3.7 Max (2026-05-17) 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-max-2026-05-17"
}).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-2026-05-17"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Qwen3.7 Max (2026-05-17) is a dated snapshot of Alibaba's flagship proprietary reasoning model, pinned to a May 2026 build of Qwen3.7 Max.
Qwen3.7 Max is built for long-horizon agentic workloads and pairs a 1 million-token context window with a chain-of-thought reasoning mode. Alibaba demonstrated it running a 35-hour autonomous kernel optimization task with more than 1,000 tool calls. Reported scores include 92.4 on GPQA Diamond, 89.6% on MMLU-Pro, 91.6% on LiveCodeBench and 41.4% on Humanity's Last Exam. It is text-only and supports tool calling.
Pinning this snapshot instead of the rolling qwen/qwen3.7-max alias keeps API behavior consistent for production coding agents, automated pipelines and long-document analysis.
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 17, 2026
Try Qwen3.7 Max (2026-05-17) for free
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This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Qwen
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.
ChatQwen3.6 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.
ChatQwen3.6 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
You can access Qwen3.7 Max (2026-05-17) 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.
Qwen3.7 Max (2026-05-17) 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.
Qwen3.7 Max (2026-05-17) 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 | $2.5 |
| Output | $7.5 |
Qwen3.7 Max (2026-05-17) was created by Qwen and released on May 17, 2026.
Qwen3.7 Max (2026-05-17) supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.
Qwen3.7 Max (2026-05-17) can generate up to 66K tokens in a single response.
Qwen3.7 Max (2026-05-17) accepts the following input types: text. It produces: text.
Yes, Qwen3.7 Max (2026-05-17) supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Qwen3.7 Max (2026-05-17) 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 Max (2026-05-17) to your app for free
Developers can integrate Qwen3.7 Max (2026-05-17) for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.