aiaimodel.cards

Qwen3.8-Omni-Flash

Language modelCard summarized

Qwen's next-generation native omni-modal model

ActiveSource: qwen3.8-omni-flash model page and Qwen Cloud overview

Use it via API

$79.98 /month
$1.60 per 1K requests
RAG over docs: 12K in · 600 out · 50K requests/mo · 30% cached · change
Code exampleCompare

Where to call it

  • Alibaba Cloud Model Studioqwen3.8-omni-flash

Supports

  • Image input
  • Tool calling
  • Web search
  • Prompt caching
Full feature support

Good for

  • Audio and video understanding, meeting summaries and subtitles
  • Agent workflows mixing text, images, audio and video (video editing, narration)
  • Coding, knowledge work and GUI tasks with media context

Watch out for

Overview

Alibaba · 02Omni, front

Qwen3.8-Omni

Qwen's next-generation native omni-modal model

Cost
$0.15 in
Context
1M
Input / output
$0.15 / $0.47
Max output
131K
Knows up to
—
Released
17 Sep 2026

A native omni-modal model built on the Qwen3.8-Flash-Next architecture. It reads text, images, audio (113 languages and dialects, including 2- and 4-channel spatial audio) and video in a 1M-token context and answers in text, for agent work that mixes media: video editing, music videos, narration, multimedia summaries and audio-video dialogue. Qwen Cloud overview; model page

qwen3.8-omni-flash
Input / output per 1M
$0.15 / $0.47
Context window
1M
Max output
131K
Knows up to
—
Reasoning
Hybrid (thinking on by default; adjustable with reasoning_effort)
Weights
Closed

About this card. A model card is the maker's own account of a model: what it's for, how it was trained and tested, and where it falls short. This page condenses Alibaba Cloud's qwen3.8-omni-flash model page and Qwen Cloud overview. Every claim carries its source page.