Jina Reranker v1 Turbo EN

rerankapache-2.0

Jina Reranker v1 Turbo English addresses a critical challenge in production search systems: the trade-off between result quality and computational efficiency. While traditional rerankers offer improved search accuracy, their computational demands often make them impractical for real-time applications. This model breaks that barrier by delivering 95% of the base model's accuracy while processing documents three times faster and using 75% less memory. For organizations struggling with search latency or computational costs, this model offers a compelling solution that maintains high-quality search refinement while significantly reducing infrastructure requirements and operational costs.

Context
8K
Input price
$0.05/1M tokens
Output price
—

Capabilities

Infrastructure
Fine-tuning

Details

Model IDjina-reranker-v1-turbo-en
Provider Jina AI
Creator jina
Licenseapache-2.0
Statusactive
Typererank
Input modalitiestext
Output modalitiestext
Open weightYes
Parameters—
Architecture—
Context window8K tokens
Max input—
Max output—
Reasoning tokens—
Knowledge cutoff—
Release date
Sourceofficial

Endpoints

rerankPOST
https://api.jina.ai/rerank

Pricing

Input
$0.05
Output
—
Cache write
—
Cache read
—
Batch in
—
Batch out
—

Family Comparison: jina-reranker

ModelContextMax outPricing
Jina Reranker v1 Base EN8K—$0.05—
Jina Reranker v1 Tiny EN8K—$0.05—
Jina Reranker v1 Turbo EN8K—$0.05—
Jina Reranker v2 Base Multilingual1K—$0.05—
Jina Reranker v3.5131K—$0.05—
Jina Reranker v3134K—$0.05—

API

GET/v1/models/jina/jina-reranker-v1-turbo-en