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Qwen

Qwen: Qwen3.5-Omni Plus (2026-03-15)

qwen/qwen3.5-omni-plus-2026-03-15

Try Qwen3.5-Omni Plus (2026-03-15) 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/qwen3.5-omni-plus-2026-03-15"
}).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/qwen3.5-omni-plus-2026-03-15"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Model Card

Qwen3.5-Omni Plus (2026-03-15) is a dated snapshot of the flagship tier of Alibaba's Qwen3.5-Omni family, a natively multimodal model that takes text, images, video, and audio as input and can return text or audio.

It uses a Thinker-Talker design on a Hybrid-Attention Mixture-of-Experts architecture. Alibaba reports state-of-the-art results across 215 audio and audio-visual benchmarks, and says it surpasses Gemini 3.1 Pro on audio understanding while matching it on audio-visual comprehension. Its reported scores include 85.9 on MMLU-Pro, 86.8 on MLVU video understanding, and a LibriSpeech word error rate of 1.11-2.23.

It has a 262K-token context window and a 65K-token output limit. Pricing is $1.40 per million input tokens for text, image, and video, and $8.30 per million text output tokens. Pinning this dated ID keeps behavior fixed, which suits voice assistants, transcription, and video or audio analysis pipelines that need accuracy over latency.

Context Window 262K

tokens

Max Output 66K

tokens

Input Cost $1.4

per million tokens

Output Cost $8.3

per million tokens

Input text, image, video, audio

modalities

Tool Use No

 

Release Date Mar 26, 2026

 

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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 Qwen3.5-Omni Plus (2026-03-15)?

You can access Qwen3.5-Omni Plus (2026-03-15) 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 Qwen3.5-Omni Plus (2026-03-15) for free?

Qwen3.5-Omni Plus (2026-03-15) 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 Qwen3.5-Omni Plus (2026-03-15) API free for developers?

Qwen3.5-Omni Plus (2026-03-15) 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 Qwen3.5-Omni Plus (2026-03-15)?
Qwen3.5-Omni Plus (2026-03-15) costs $1.4 per 1M input tokens and $8.3 per 1M output tokens.
Price per 1M tokens
Input$1.4
Output$8.3
Who created Qwen3.5-Omni Plus (2026-03-15)?

Qwen3.5-Omni Plus (2026-03-15) was created by Qwen and released on Mar 26, 2026.

What is the context window of Qwen3.5-Omni Plus (2026-03-15)?

Qwen3.5-Omni Plus (2026-03-15) 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 Qwen3.5-Omni Plus (2026-03-15)?

Qwen3.5-Omni Plus (2026-03-15) can generate up to 66K tokens in a single response.

What types of input can Qwen3.5-Omni Plus (2026-03-15) process?

Qwen3.5-Omni Plus (2026-03-15) accepts the following input types: text, image, video, audio. It produces: text, audio.

Does Qwen3.5-Omni Plus (2026-03-15) support tool use (function calling)?

No, Qwen3.5-Omni Plus (2026-03-15) does not currently support tool use (function calling).

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

Yes — the Qwen3.5-Omni Plus (2026-03-15) 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 Qwen3.5-Omni Plus (2026-03-15) to your app for free

Developers can integrate Qwen3.5-Omni Plus (2026-03-15) for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

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