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Qwen

Qwen3-VL Rerank

Qwen3-VL Rerank scores mixed text, image, and video candidates after retrieval. Nfero positions it as a multimodal search and RAG planning route with current official documentation.

QwenRerankingVision languageDemo preview
AvailabilityDemo preview
AccessDemo preview
RegionSingapore-first

Retrieval planning

Plan a grounded AI workflow

Alibaba Cloud access

Use this route to design search, embedding, and reranking flows before enabling production access in Alibaba Cloud.

1

Input

Prepare text, image, or document content for vector search and scoring.

2

Retrieve

Use embeddings to collect candidate context for a user query.

3

Rerank

Apply Qwen reranking to prioritize the best source passages.

Nfero may earn commission if you later purchase through a qualifying link, at no extra cost to you.

Model playbook

What teams use it for

Retrieval demo

Search relevance

Rank model pages for a developer searching for the right model route.

Embedding slot

Vector match

Embed model descriptions and cluster them by task, cost, and hosted availability.

Rerank slot

Rerank result

Rerank model candidates by reasoning, vision, and compatibility.

Usage, access, and limitsTerms apply

Usage terms

Terms apply. Confirm usage terms in the customer's Alibaba agreement before production launch.

Hosted access

This route is ready for discovery, pricing estimates, and input planning while live access is prepared.

Model limits

Input window8,192
Developer implementationAPI examples
curl
curl -X POST https://nfero.com/api/models/qwen3-vl-rerank/run \
  -H 'content-type: application/json' \
  -d '{"query":"","documents":["Alibaba Cloud","Qwen"],"top_k":3}'
JavaScript
await fetch('/api/models/qwen3-vl-rerank/run', {
  method: 'POST',
  headers: { 'content-type': 'application/json' },
  body: JSON.stringify({
  "query": "",
  "documents": [
    "Alibaba Cloud",
    "Qwen"
  ],
  "top_k": 3
})
});
Python
import requests
requests.post('https://nfero.com/api/models/qwen3-vl-rerank/run', json={
  "query": "",
  "documents": [
    "Alibaba Cloud",
    "Qwen"
  ],
  "top_k": 3
})