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Qwen3.8 Omni Flash

by Qwen

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for aud

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Qwen3.8 Omni Flash

Added 24 Sept 2026

#qwen

Overview

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

Best for

Best for
Audio-video understanding

How to use / API access

Call via OpenRouter with model id `qwen/qwen3.8-omni-flash`.

  • openrouter · qwen/qwen3.8-omni-flash Docs

OpenRouter id: qwen/qwen3.8-omni-flash

Notes

Qwen3.8 Omni Flash is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Summarising supplied recordings into inspectable notes
  • text, image, audio, video input; text output on the listed OpenRouter route

Cons

  • Treating this text-output route as a speech generator
  • Replacing a transcript audit with fluent summary text
  • Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.
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USAGE / OPENROUTER

How much Qwen3.8 Omni Flash is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
33.4B ▼4.3%
Requests, last 7 days
2.5M
Tool calls, last 7 days
270K
Average cost per request
29.5¢
Price per million tokens
$0.15 in · $0.47 out
05B10B22 Sept: 4.4B tokens, 55.7K requests23 Sept: 1.4B tokens, 68K requests24 Sept: 2.1B tokens, 64.8K requests25 Sept: 2B tokens, 95.5K requests26 Sept: 2.2B tokens, 77.9K requests27 Sept: 2B tokens, 109K requests28 Sept: 2.7B tokens, 104K requests29 Sept: 3.5B tokens, 238K requests30 Sept: 3.2B tokens, 147K requests1 Oct: 4.7B tokens, 297K requests2 Oct: 6.9B tokens, 502K requests3 Oct: 3.2B tokens, 220K requests4 Oct: 3.3B tokens, 210K requests5 Oct: 3.8B tokens, 139K requests6 Oct: 3B tokens, 135K requests7 Oct: 5.8B tokens, 309K requests8 Oct: 6.5B tokens, 355K requests9 Oct: 5.7B tokens, 345K requests10 Oct: 4.4B tokens, 338K requests11 Oct: 5.7B tokens, 492K requests12 Oct: 5.6B tokens, 365K requests13 Oct: 5.5B tokens, 462K requests14 Oct: 6.9B tokens, 577K requests15 Oct: 5.6B tokens, 531K requests16 Oct: 4.2B tokens, 210K requests17 Oct: 2.5B tokens, 140K requests18 Oct: 3.1B tokens, 178K requests22 Sept6 Oct18 OctSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with Qwen3.8 Omni Flash.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-10-20. Hosting routes and app features can differ.

DeveloperAlibaba Qwen
Exact model identifierqwen/qwen3.8-omni-flash
Inputtext, image, audio, video
Outputtext
Tool calling
Listed support
Structured output
Listed support
Reasoning controls
Listed support
Availability
available
Price basis
token
Licence verification
Check the developer licence; the model name is insufficient

Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Consider it for

  • Summarising supplied recordings into inspectable notes
  • Finding events in a video with associated speech

Watch for

  • Treating this text-output route as a speech generator
  • Replacing a transcript audit with fluent summary text

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

For a supplied training clip, produce a two-column timeline: visible action and spoken instruction. Mark any mismatch and keep inaudible sections unresolved.

Check the result: Each entry includes a timestamp; the answer separates visual observation from speech.

Compare another approach

anthropic claude sonnet 5 5 ↗openai gpt 6 1 sol ↗
Inspect the sources and their scope
provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19
catalogue source ↗

qwen/qwen3.8-omni-flash: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-10-20
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Extract document dataWorkflow & starter prompt ↗Run a reliable agentWorkflow & starter prompt ↗

Check the source

Price date: 2026-10-20. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Compare this model with alternatives →