Qwen3.8 Omni Flash

qwen3.8-omni-flash

Qwen3.8 Omni Flash is a next-generation omni-modal model from Alibaba’s Qwen family, designed to understand and process text, images, audio, and video within a unified AI system. It combines strong language intelligence with advanced multimodal understanding capabilities for real-world AI applications. With support for up to 1M-token context windows, Qwen3.8 Omni Flash is optimized for long-document analysis, multimedia understanding, and agentic workflows. It can analyze complex audio and video content, perform reasoning across multiple modalities, and support tool calling for building intelligent AI applications. Designed for high-efficiency deployment, Qwen3.8 Omni Flash provides a strong balance between multimodal intelligence, scalability, and cost efficiency, making it suitable for developers building next-generation AI assistants, content analysis systems, and automation agents.

Context Window

1M tokens

Maximum Output

131.1K tokens

Release Date

Sep 17, 2026

Modalities

Qwen3.8 Omni Flash Pricing

Input PriceOutput PriceCache Read
$0.1143/M$0.3857/M$0.0143/M

Qwen3.8 Omni Flash API Capabilities

Reasoning

Supported

Tool calling

Supported

Temperature parameter

Not supported

Attachments

Supported

Knowledge Base

—

Endpoint Protocols

Completions APIMessages API

Model Highlights

The defining strengths of Qwen3.8 Omni Flash.

Native Omnimodal Input

Accepts text, images, audio, and video together and produces text responses.

Long Multimodal Context

Its documented context window reaches one million tokens for supported inputs.

Question-Guided Video Analysis

Qwen describes an agent workflow that locates relevant moments in long videos through iterative evidence gathering.

Use Cases

Practical workloads suited to Qwen3.8 Omni Flash.

Meeting Intelligence

Turn meeting recordings into transcripts, speaker-aware summaries, and follow-up notes.

Long-Video Research

Ask specific questions about lengthy footage and gather relevant audiovisual evidence for a written report.

Media Production Planning

Analyze source audio and video to plan edits, captions, narration, or translated versions.

How to Use Qwen3.8 Omni Flash via the TokenHub API

Create API key
import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.TOKENHUB_API_KEY,
  baseURL: "https://us-api.tokenhub.com/v1",
})

const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)

Qwen3.8 Omni Flash Media and Demos

Verified public posts and videos about Qwen3.8 Omni Flash.

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YouTube

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Ray Codes

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Qwen3.8 Omni Flash FAQs

Answers to common questions about Qwen3.8 Omni Flash.

What is Qwen3.8 Omni Flash?+

It is Qwen's omnimodal model for text, image, audio, and video inputs, with text output.

Which tasks suit it best?+

Qwen highlights long-video analysis, meeting understanding, audiovisual summaries, and media-production workflows.

What are its distinctive strengths?+

It combines four input types, a documented one-million-token context, and question-guided analysis of long audiovisual material.

What limitations should I consider?+

The documented model returns text, not generated audio or video. Review important interpretations and verify media-tool results separately.

How can I use it through TokenHub?+

If available in your TokenHub account, select its listed model ID and follow that page's endpoint, authentication, and media-input instructions.

How do I check price and availability?+

Qwen lists the model on QwenCloud. Check the current TokenHub model page for your account's availability and rates, which may differ.

When should I choose another model?+

Compare alternatives on your own tasks. Choose a model with the required output modality if you need generated audio or video.

Ready to use Qwen3.8 Omni Flash?

Use one API key to access Qwen3.8 Omni Flash and more AI models through TokenHub.

Create API key