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-world...
Context
1Mtokens
About 1,429 pages of text at once
Max output
66Ktokens
About 94 pages in one answer
Intelligence
—
No score published for this model.
Output speed
66tokens/s
A 500-word answer in about 10.5 s
From public market statistics for this model
First token
0.7s
Reasoning models start later
From public market statistics for this model
Health, 30 days
81.41%
12 of 30 days without a fault
IranRouter’s measurements
Price & cost
Every rate in Rial. A request pays only for the tokens it actually uses.
| Input | 82,230 | IRR / 1M tokens |
|---|---|---|
| Output | 356,329 | IRR / 1M tokens |
| Reasoning tokensThe output rate | 356,329 | IRR / 1M tokens |
| Cache read | 16,446 | IRR / 1M tokens |
| Cache write, 5 minutes | 104,158 | IRR / 1M tokens |
| Image input tokensThe input rate | 82,230 | IRR / 1M tokens |
Under these conditions, these rates replace the ones above:
Prompts over 32K tokens
| Input | 274,099 | IRR / 1M tokens |
|---|---|---|
| Output | 1,096,397 | IRR / 1M tokens |
| Cache read | 54,820 | IRR / 1M tokens |
| Cache write, 5 minutes | 342,624 | IRR / 1M tokens |
Prompts over 256K tokens
| Input | 548,199 | IRR / 1M tokens |
|---|---|---|
| Output | 2,192,794 | IRR / 1M tokens |
| Cache read | 109,640 | IRR / 1M tokens |
| Cache write, 5 minutes | 685,248 | IRR / 1M tokens |
With prompt caching, the fixed part of your prompt is billed at the cache-read rate on later requests.
What would this model cost you a month?
Monthly cost
13.81MIRR
460K IRR a day, 230 IRR each request
30 days at today’s rate.
Rial price over 90 days
It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.
Performance, 30 days
Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.
Daily health81.41%
Time to first token0.76 s
Output speed66 tokens/s
Place in the market
By usage across the global model market.
Daily rank#48
Share of the day’s tokens0.2%
Capabilities
- Input
- TextImageVideo
- Output
- Text
Parameters it accepts
include_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedtemperaturetool_choicetoolstop_logprobstop_pStart in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
# pip install openai from openai import OpenAI client = OpenAI( base_url="https://iranrouter.com/v1", api_key="ir-...", ) r = client.chat.completions.create( model="qwen/qwen3.7-flash", messages=[{"role": "user", "content": "Hello, introduce yourself"}], ) print(r.choices[0].message.content)
Peer models
Its family and models with a close score; the last column compares one message’s cost with this model.
Technical specs
- ID
qwen/qwen3.7-flash- Maker
- Qwen
- Tokenizer
- Qwen
- Released
- Jul 28, 2026
- Added to IranRouter
- Aug 19, 2026
- Context
- 1,000,000 tokens
- Max output
- 65,536 tokens
