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qwen3-vl-rerank
Activeqwen/qwen3-vl-rerank
Qwen3 reranker model, 32K context
RerankQwen
Pricing
Pay as you go · priced in CNYPay as you go · priced in CNYPer query
Text input
¥0.800
/ 1M tokens
Image tokens
¥2.00
/ 1M tokens
Context length
120K
tokens
Rerank models are billed separately for text input and image tokens, in CNY per million tokens.
Providers and quotes
1 routes · pay as you go| Provider | Text input | Context length | Latency | Uptime | Status |
|---|---|---|---|---|---|
 dashscope dashscope/qwen3-vl-rerank | ¥0.800 | 120K | — | 0.00% |
API examples
OpenAI compatibleEndpoint/rerankmodel: qwen/qwen3-vl-rerank
python
import os
import requests
response = requests.post(
"https://api.openroute.cn/v1/dashscope/vl-rerank",
headers={
"Authorization": f"Bearer {os.environ['ONTOROUTE_API_KEY']}",
"Content-Type": "application/json",
},
json={
"model": "qwen/qwen3-vl-rerank",
"query": {"text": "What is in this image?"},
"documents": [
{"text": "Rerank models are widely used in search engines and recommendation systems."},
{"image": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"},
{"video": "https://example.com/sample-video.mp4"},
],
"top_n": 2,
"return_documents": True,
},
)
response.raise_for_status()
print(response.json())qwen-vl-rerank is a multimodal rerank model for text, image and video documents. Use multimodal query and documents with the Rerank API.
Request parameters
Calls (30d)
0
1 supply routes
Avg. latency
—
Time to first token
Usage trend
暂无调用数据