Jina: Jina Reranker V1 Tiny EN
jina/jina-reranker-v1-tiny-en
Jina Reranker v1 Tiny English represents a breakthrough in efficient search refinement, designed specifically for organizations requiring high-performance reranking in resource-constrained environments. This model addresses the critical challenge of maintaining search quality while significantly reducing computational overhead and deployment costs. With just 33M parameters - a fraction of typical reranker sizes - it delivers remarkably competitive performance through innovative knowledge distillation techniques. The model's most surprising feature is its ability to process documents nearly five times faster than base models while maintaining over 92% of their accuracy, making enterprise-grade search refinement accessible to applications where computational resources are at a premium.
Model specifications
- Input
- text
- Output
- text
- Context
- 400 tokens
- Max output
- 10,000 tokens
- Input price
- $0.05 / 1M tokens
- Output price
- $0 / 1M tokens
- Released
- 2026-02-14
Capabilities
- Streaming
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.05 / 1M tokens
Jina
Tier: Standard · Region: US
Pricing
- Input
- $0.05 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- No
- Data retention
- Unknown retention
- Used for training
- Unknown
- Data collection
- Moderated
- No
- GDPR compliant
- No
- HIPAA compliant
- No
- SOC 2 certified
- No
- BYOK supported
- No
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is Jina: Jina Reranker V1 Tiny EN?
- Jina Reranker v1 Tiny English represents a breakthrough in efficient search refinement, designed specifically for organizations requiring high-performance reranking in resource-constrained environments. This model addresses the critical challenge of maintaining search quality while significantly reducing computational overhead and deployment costs. With just 33M parameters - a fraction of typical reranker sizes - it delivers remarkably competitive performance through innovative knowledge distillation techniques. The model's most surprising feature is its ability to process documents nearly five times faster than base models while maintaining over 92% of their accuracy, making enterprise-grade search refinement accessible to applications where computational resources are at a premium.
- How much does Jina: Jina Reranker V1 Tiny EN cost?
- Input costs start at $0.05 / 1M tokens and output costs start at $0 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Jina: Jina Reranker V1 Tiny EN?
- Jina: Jina Reranker V1 Tiny EN supports a 400 token context window and up to 10,000 output tokens.
- What capabilities does Jina: Jina Reranker V1 Tiny EN support?
- Jina: Jina Reranker V1 Tiny EN supports Streaming, Playground.
- Which providers offer Jina: Jina Reranker V1 Tiny EN?
- Jina: Jina Reranker V1 Tiny EN is available from Jina.
- How do providers handle data privacy for Jina: Jina Reranker V1 Tiny EN?
- 1 of 1 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.