Qwen

Qwen3.7-Flash

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Qwen 3.7 Flash - vision-language model positioned for multimodal applications including visual coding, object recognition, and computer interaction tasks.

Context
1Mtokens
Max output
66Ktokens
Latency
~8ms
Released
2026-07

Pricing

$ / 1M tokens
Input
$0.03/M
Output
$0.13/M
Cache Read
$0.006/M
Cache Write
$0.0375/M

Capabilities

1 listed
  • Chat

Code examples

POST /v1/chat/completions
python
from openai import OpenAI

client = OpenAI(
    api_key="your_api_key",
    base_url="https://api.modelstack.cc/v1",
)

response = client.chat.completions.create(
    model="qwen3.7-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

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Frequently asked questions

How is Qwen3.7-Flash billed on ModelStack?expand_more
ModelStack bills based on actual request usage. Input, output, cache, and any other applicable rates follow the live pricing table on this page. Final request costs are available in the console.
What are the context window and maximum output for Qwen3.7-Flash?expand_more
Qwen3.7-Flash has a 1M context window and supports up to 66K of output.
How can I call Qwen3.7-Flash through ModelStack?expand_more
Use the model ID `qwen3.7-flash` with any OpenAI-compatible SDK pointed at the ModelStack API — see the code examples above for Python, Node.js, and cURL.
Which capabilities does Qwen3.7-Flash support?expand_more
Qwen3.7-Flash supports: Chat.