by Alibaba (Qwen Team)
Qwen: Qwen3.7 Flash.
multimodal
closed
1M ctx
Cheapest input
$0.03/M
on OpenRouter
Cheapest output
$0.13/M
on OpenRouter
Hosted equiv.
~$0.05/hr
@ 100 tok/s on OpenRouter
Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-
Hosted API only
No self-host path — closed weights.
Qwen: Qwen3.7 Flash's weights aren't published. Use it via the access providers below.
Where to use it
Cheapest hosted endpoints.
| Provider | Access | $/M in | $/M out | |
|---|---|---|---|---|
| OpenRouter | api aggregator | $0.03 | $0.13 | Launch ↗ |
FAQ
Frequently asked.
How do I run Qwen: Qwen3.7 Flash?
Qwen: Qwen3.7 Flash is a closed-source API model. The cheapest way to access it is through the API providers listed on this page (direct API, aggregators, and hosted chat UIs).
Where can I access Qwen: Qwen3.7 Flash?
Qwen: Qwen3.7 Flash is available via OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Qwen: Qwen3.7 Flash?
API pricing starts at $0.03/M input tokens and $0.13/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Qwen: Qwen3.7 Flash open-source or proprietary?
Qwen: Qwen3.7 Flash is a proprietary model from Alibaba (Qwen Team). Access is API-only — there are no public weights to download.
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for Qwen: Qwen3.7 Flash across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$0.56
OpenRouter
$/M input
$0.03
per million tokens
$/M output
$0.13
per million tokens
Providers
1
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Loading...
Bill breakdown.
| Provider | Monthly total | |
|---|---|---|
| $0.56 | Sign up ↗ |
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
1M tokens
≈ 750,000 English words
4K
32K
128K
1M
Capabilities
What it can do.
·
Vision input
·
Audio input
·
Video input
·
Function calling
·
Tool use
·
JSON mode
✓
Streaming
·
Fine-tuning