Qwen3.8 Omni Flash
Qwen · released Sep 21, 2026
- Type
- Closed
- Input
- None held
- Output
- None held
- Cached
- None held
We don't hold a list price for this model yet · hosted only — we have no record of published weights
Our take
Written Sep 30, 2026Qwen3.8 Omni Flash is a hosted-only model that takes text, images, audio and video in the same request and returns text. Its request capacity is large enough that long documents need not be split up first, and nothing here measures the quality of its answers.
Reach for it when one request has to carry a mix of text, images, audio and video, or when a long report would otherwise be split before you ask about it. Two hosts are listed, so you are choosing between them rather than running it yourself. Skip it if you need to run the model on your own hardware, or if you need measured quality before you commit.
The case for it
- Text, images, audio and video all go into the same request, so a clip or a recording does not have to be transcribed or described first.
- The request capacity holds a long report or a stack of documents beside the question, though reliable recall across all of it is unverified in our data.
- Both listed hosts charge the same rate, so the choice between them is not a price decision.
The case against it
- No benchmark scores are supplied, so the only way to judge the answers is a trial on work you can check yourself.
- We list no download for it, so using it means choosing a host rather than running it yourself.
- No parameter count is published, so its size cannot be judged from the specification.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked between 52 min and 55 min ago — each listing carries its own date.
- per 1M tokens
- $0.15 in / $0.47 out
- Context served
- 1M
- Throughput
- ~50 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.15 / $0.47checked 55 min ago | 1M | not measured | Unknown | Unknown | Unknown |
| Alibaba CloudThrough OpenRouter | $0.15 / $0.47checked 52 min ago | 1M131K max reply | 50 tok/s | No | Yesunknown period | Unknown |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Alibaba CloudThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We don't hold a list price for this model yet — the gap is ours, not the lab's.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images, audio and video in, text out
- Catalogue slug
- qwen-qwen3-8-omni-flash