Qwen: Qwen3.8 OmniFlash
qwen/qwen3.8-omni-flash
Try Qwen3.8 OmniFlash 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/qwen3.8-omni-flash"
}).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/qwen3.8-omni-flash"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Qwen3.8 OmniFlash is Alibaba's first omni-modal model built around agentic capabilities, released September 18, 2026, succeeding Qwen3.5-Omni-Plus.
It accepts text, images, audio, and video as input and returns text, pairing native audio-video understanding with reasoning and tool use. It can watch or listen to content, plan a task, call tools, and deliver a finished result, such as an edited video or a meeting summary.
Alibaba reports more than a 26% average improvement across 30 evaluations versus Qwen3.5-Omni-Plus, with gains in audio-video agents, coding, long-context tasks, and real-time interaction. It says audio-visual performance approaches Gemini 3.8 Flash, with audio performance exceeding it.
With a 1,000,000 token context window, 128,000 token output limit, and pricing of $0.06 per million input tokens and $0.19 per million output tokens, it suits developers building video and audio agents, such as meeting summarization or video-editing pipelines that need tool-calling built in.
Context Window 1M
tokens
Max Output 131K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.47
per million tokens
Input text, image, audio, video
modalities
Tool Use Yes
Release Date Sep 17, 2026
Try Qwen3.8 OmniFlash for free
Try Qwen3.8 OmniFlash instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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ChatQwen3.6 35B A3B
Qwen3.6 35B A3B is a sparse Mixture-of-Experts model with 35 billion total parameters but only 3 billion active per token, making it highly efficient for inference. Developed by Alibaba's Qwen team, it scores 73.4% on SWE-bench Verified and 51.5% on Terminal-Bench 2.0 — significantly outperforming dense models like Gemma 4-31B (52.0% on SWE-bench Verified). It natively handles text, image, and video with a 262K-token context window, extendable to 1M tokens. The model supports Thinking Preservation for stable multi-turn reasoning and includes native tool-calling capabilities. Released under Apache 2.0, it was the first open-weight model in the Qwen3.6 family. A strong choice for developers who want frontier-adjacent coding performance at a fraction of the compute cost of larger models.
Frequently Asked Questions
You can access Qwen3.8 OmniFlash 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.
Qwen3.8 OmniFlash 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.
Qwen3.8 OmniFlash 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 | $0.15 |
| Output | $0.47 |
Qwen3.8 OmniFlash was created by Qwen and released on Sep 17, 2026.
Qwen3.8 OmniFlash supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.
Qwen3.8 OmniFlash can generate up to 131K tokens in a single response.
Qwen3.8 OmniFlash accepts the following input types: text, image, audio, video. It produces: text.
Yes, Qwen3.8 OmniFlash supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Qwen3.8 OmniFlash 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 Qwen3.8 OmniFlash to your app for free
Developers can integrate Qwen3.8 OmniFlash for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.