jina-reranker-v3
by jinaai
Compact Qwen3-based reranker for multilingual text retrieval precision
jinaai/jina-reranker-v3mixpeek://reranker@v1/jina_reranker_v3Overview
Jina Reranker v3 is a production text-ranking model from Jina AI built on Qwen3-0.6B. It is useful as a second-stage reranker after dense, sparse, or hybrid retrieval, especially when agents need cleaner evidence from transcripts, OCR spans, documents, and other text-heavy payloads.
On Mixpeek, Jina Reranker v3 fits after a broad first-stage search. Retrieve a larger candidate set with embeddings, BM25, or hybrid search, then rerank the candidates before sending compact evidence to an agent. This is particularly useful when a video or document pipeline has many short evidence spans that look similar in embedding space.
Architecture
Transformer cross-encoder text-ranking model based on Qwen3-0.6B. The model scores query and document pairs directly, so inference cost scales with the number of candidate pairs reranked.
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: "text_embeddings",
version: "v1",
parameters: { model_id: "BAAI/bge-m3" },
},
});Capabilities
- Second-stage reranking for dense, sparse, and hybrid candidate sets
- Multilingual text-ranking model based on Qwen3-0.6B
- Useful for transcript, OCR, caption, and document span precision
- Compact 596M-parameter footprint compared with larger rerankers
- Works well as the precision stage before agent context assembly
Use Cases on Mixpeek
Benchmarks
| Dataset | Metric | Score | Source |
|---|---|---|---|
| Hugging Face | Pipeline tag | text-ranking | Jina AI, 2026 Model Card |
| Hugging Face | Base model | Qwen3-0.6B | Jina AI, 2026 Model Card |
| Hugging Face | Parameters | 596M | Jina AI, 2026 Model Card |
Performance
Common Pipeline Companions
Specification
Research Paper
Jina Reranker v3
arxiv.orgBuild a pipeline with jina-reranker-v3
Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.
Run it on your own data, free