Qwen3.7 Flash
Qwen · released Jul 27, 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 3, 2026Qwen 3.7 Flash is a proprietary multimodal model from Alibaba that handles text, images and video with a one-million-token request limit. It is positioned as a budget option for very long-context work, though no quality scores are available to verify its performance.
Pick this when you need million-token context at entry-level pricing, with both tracked hosts charging the same rate. Use it if Alibaba-hosted inference at 47 tokens per second meets your latency needs. Skip it if you need verified quality scores, an open-weight alternative, or guaranteed throughput from every host.
The case for it
- One-million-token request limit at budget-tier pricing, the cheapest we track for this context length.
- Both providers match the same rate, so price shopping is straightforward.
The case against it
- No benchmark scores in our data — chat, reasoning, coding and multimodal performance are all unverified.
- Throughput is only measured for one host; the other is undisclosed.
- Proprietary weights with no parameter count disclosed and no open alternative available.
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 4 hours ago — each listing carries its own date.
- per 1M tokens
- $0.030 in / $0.13 out
- Context served
- 1M
- Throughput
- ~64 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.030 / $0.13checked 4 hours ago | 1M | not measured | Unknown | Unknown | Unknown |
| Alibaba CloudThrough OpenRouter | $0.030 / $0.13checked 4 hours ago | 1M66K max reply | 64 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: 0 of 2 listings say yes, 2 say no.
Models people weigh against Qwen3.7 Flash
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 and video in, text out
- Catalogue slug
- qwen-qwen3-7-flash