Vision / Qwen

qwen3.7-flash

Deep thinkingVisual Understandingfunction callingStructured outputWeb Search

Overview

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 visual perception.

Model type: Vision
Input: Text / Image / Video
Output: Text
Endpoints: chat

Tiered billing details

Tier	Input	Output	Cache hit	Cache write
≤32K input tokens	$0.0000/1K	$0.0001/1K	$0.0000/1K	$0.0000/1K
≤256K input tokens	$0.0001/1K	$0.0003/1K	$0.0000/1K	$0.0001/1K
>256K input tokens	$0.0002/1K	$0.0007/1K	$0.0000/1K	$0.0002/1K

Billed bylen (input context token count). Coefficient is the $ / 1M tokens price. Default group price (other groups converted by discount).

Code example

Call with qwen3.7-flash :

curl https://www.starunion.net/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.7-flash",
    "messages": [{
      "role": "user",
      "content": [
        { "type": "text", "text": "Describe this image" },
        { "type": "image_url", "image_url": { "url": "https://example.com/photo.jpg" } }
      ]
    }]
  }'