Models · Best vision
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.
Our verdict
We have not reviewed Qwen3.8 Omni Flash yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About Qwen3.8 Omni Flash
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.
Best for
Audio-video understanding
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.
Key facts
What we have checked
- Input price
- $0.150 per million tokens
- Output price
- $0.470 per million tokens
- Price on qwen
- $0.016 per million cached input tokens
- Price on qwen
- $0.150 per million input tokens
- Price on qwen
- $0.470 per million output tokens
- Latest version
- qwen/qwen3.8-omni-flash-20260918
- Time to first token (ms) on qwen
- 1,234
- Output speed (tokens a second) on qwen
- 71
- Tokens served on OpenRouter in a day
- 4.5B (for 10 Nov 2026)
- Tool calls on OpenRouter in a day
- 39.6K (for 10 Nov 2026)
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
API access
How to call it
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
Price
What Qwen3.8 Omni Flash costs, over time
$0.150 to $0.150
$0.470 to $0.470
Prices by host
| Host | Price | Over time | Checked |
|---|---|---|---|
| qwenCached input | $0.016 per million cached input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| qwenInput | $0.150 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| qwenOutput | $0.470 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
Usage
How much Qwen3.8 Omni Flash is used
4.4B to 4.5B
Sources
Where this comes from
- OpenRouter models APIRegistry
- OpenRouter models APIThird party
- OpenRouter models APIOfficial
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
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
- 39.3B ▼14.6%
- Requests, last 7 days
- 4.6M
- Tool calls, last 7 days
- 261K
- Average cost per request
- 23.2¢
- Price per million tokens
- $0.15 in · $0.47 out
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 2026-11-07. Hosting routes and app features can differ.
qwen/qwen3.8-omni-flash- 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
- Context length
- 1M tokens
- Knowledge cutoff
- Not established
- Developer release date
- Not established
- First seen in the catalogue
- 21 Sept 2026
- Listed retirement date
- Not established
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.
Inspect the sources and their scope
Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.
Checked 2026-10-19qwen/qwen3.8-omni-flash: listed route capabilities, availability and prices; provider endpoints can differ.
Checked 2026-11-07Source for reasoning controls, first seen, tool calling, context length, input, output, structured output.
Checked 2026-11-07FROM 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.
What would it cost?
Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.
Enter a whole number of runs from 1 to 100,000,000.
Working out the cost...
Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗
Check the source
Price date: 10 Nov 2026, from OpenRouter models API. 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.
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