Qwen3.6 Flash
Qwen · released Apr 27, 2026
- Type
- Proprietary
- Input
- None held
- Output
- None held
- Cached
- None held
We don't hold a list price for this model yet · hosted only — we hold no downloadable copy
Our take
Written Aug 3, 2026Qwen3.6 Flash is a proprietary multimodal model from Alibaba that handles text, images and video in a single request and can work with up to one million tokens at once. It is built for long-document and visual tasks, though no independent quality scores have been published yet.
Choose this for long-context workflows such as legal documents, video analysis or large codebases where one million tokens in a single request matters. Use it for multimodal pipelines that need unified text, image and video input, or if you are already on Alibaba Cloud and throughput is a priority. Skip it if you need verified benchmark scores to compare quality, or if you want to download and run the model yourself.
The case for it
- One-million-token request limit — the longest context window we track, and several times the length of the next nearest open model.
- Handles text, images and video together in one model, which simplifies multimodal pipelines.
The case against it
- No measured quality data in our catalogue: chat, reasoning, coding and multimodal benchmarks are all unverified.
- Output rate is six times the input rate, a steep premium on generation costs.
- Throughput varies on the same provider's endpoints with no clarity on which speed to expect.
How good is it?
We hold no score for this model.
We look for every model we track on every board we watch, and none of them has turned up Qwen3.6 Flash — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.
Or rent it from someone else
Cheapest of 3 live listings. Picked at the widest standard context we hold, within one quantisation slice, so the numbers beside it are a price one host actually charges.
- per 1M tokens
- $0.19 in / $1.13 out
- Context served
- 1M
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouter | $0.19 / $1.13 | 1M | not measured | Unknown | Unknown | Unknown |
| Alibaba Cloud | $0.19 / $1.13 | 1M | 80 tok/s | No | Yesunknown period | Unknown |
| Alibaba Cloudfp8 | $0.19 / $1.13 | 1M | 74 tok/s | No | Yesunknown period | Unknown |
Across the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouter | ✓ | ✓ | ✓ |
| Alibaba Cloud | ✓ | ✓ | ✓ |
| Alibaba Cloudfp8 | ✓ | ✓ | ✓ |
Tool calling: 3 of 3 listings say yes. JSON output: 3 of 3 listings say yes. Strict schema: 3 of 3 listings say yes.
Models people weigh against Qwen3.6 Flash
When we formed this view
Dates behind this page
Prices last checked 9d ago
What we do not know about this model yet
- No board we watch has turned up a score, 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 3 listings do not say whether they train on prompts.
- We don't hold a list price for this model yet — the gap is ours, not the lab's.
- We hold no cached-input 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
Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.
Identifiers
- Modality record
- text+image+video->text
- Catalogue slug
- qwen-qwen3-6-flash