Qwen3-Reranker-8B

Name: Qwen3-Reranker-8B
Author: Qwen

by Qwen

SOTA text cross-encoder reranker: instruction-aware, 100+ languages

1.8Mdl/month

8Bparams

HuggingFace Run it on your own data, free

Identifiers

Model ID

Qwen/Qwen3-Reranker-8B

Feature URI

mixpeek://reranker@v1/qwen3_reranker_8b_v1

Overview

Qwen3-Reranker-8B is the text reranking counterpart to Qwen3-Embedding, currently the top-scoring model on MTEB-R reranking benchmarks (69.76). It operates as a cross-encoder: concatenating query and document into a single input and running full bidirectional attention to produce a relevance score.

Like the embedding model, it supports instruction-tuned task conditioning: you can specify what makes a document relevant for your specific use case. On Mixpeek, it slots into the second stage of a two-stage retrieval pipeline: the embedding model retrieves candidates, and the reranker precision-sorts the top results.

Architecture

Cross-encoder architecture on Qwen3 8B backbone. Processes concatenated query-document pairs with full bidirectional attention. Outputs a scalar relevance score. Supports instruction prefixes for task-specific ranking criteria.

Mixpeek SDK Integration

// Reranking is a retriever STAGE in Mixpeek, not an ingest-time extractor.
// The rerank stage runs a cross-encoder inference service; the shipped default
// is BAAI/bge-reranker-v2-m3. Pointing it at Qwen3-Reranker-8B means registering that
// model as a custom reranker plugin and naming it in feature_uri, which is an
// Enterprise path. Stage contract read from GET /v1/discovery/stages.
const retriever = await mx.retrievers.create({
  namespace_id: "my-namespace",
  retriever_name: "search-then-rerank",
  stages: [
    {
      stage_name: "candidates",
      stage_id: "feature_search",
      parameters: { limit: 100 },
    },
    {
      stage_name: "rerank_results",
      stage_id: "rerank",
      parameters: {
        inference_name: "BAAI__bge_reranker_v2_m3",
        query: "{{INPUT.query}}",
        document_field: "content",
        top_k: 10,
      },
    },
  ],
});