Qwen3-Reranker-4B

by Qwen

Mid-size 4B text reranker with strong multilingual accuracy

1.16Mdl/month

4Bparams

HuggingFace Run on your data

Identifiers

Model ID

Qwen/Qwen3-Reranker-4B

Feature URI

mixpeek://reranker@v1/qwen3_reranker_4b_v1

Overview

Qwen3-Reranker-4B is the mid-size option in the Qwen3 reranker family, offering stronger accuracy than the 0.6B variant while remaining significantly faster than the 8B model. It supports 100+ languages with instruction-following for custom relevance criteria, making it the sweet spot for production deployments that need both quality and throughput.

Architecture

Decoder-based cross-encoder built on the Qwen3 4B language model. Instruction-tuned for reranking tasks with support for user-defined relevance criteria via natural language prompts. Processes concatenated query-document pairs through causal attention layers with a relevance classification head.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
  namespace_id: "my-namespace",
  collection_name: "my-collection",
  source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
  feature_extractor: {
    feature_extractor_name: "s3",
    version: "v1",
    parameters: { model_id: "mixpeek://text_extractor@v1/qwen3_embedding_4b_v1" },
  },
});