jina-reranker-v2-base-multilingual Cost Calculator - Jina AI

Calculate the cost of using jina-reranker-v2-base-multilingual from Jina AI for your AI applications

jina-reranker-v2-base-multilingual Cost Calculator

Mode: Rerank

Input Tokens

Output Tokens

Cost Breakdown

Input Cost$0.00001800

Output Cost$0.00001800

Total Cost$0.00003600

Pricing Details

Input: $0.0000000180 per token

Output: $0.0000000180 per token

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Model Specifications

Limits

Max Input Tokens1,024

Max Output Tokens1,024

Max Tokens1,024

About jina-reranker-v2-base-multilingual

jina-reranker-v2-base-multilingual is a powerful rerank AI model offered by Jina AI. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using jina-reranker-v2-base-multilingual in your applications.

Pricing Information

Input Cost$0.02 per 1M tokens

Output Cost$0.02 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,024

Maximum Output Tokens1,024

Maximum Total Tokens1,024

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,024 input tokens. The maximum output length is 1,024 tokens.

When should you use jina-reranker-v2-base-multilingual?

jina-reranker-v2-base-multilingual is best suited for the following scenarios:

Search reranking for RAG pipelines
Improving relevance for semantic search results
Reordering candidate documents or passages before generation

When should you avoid jina-reranker-v2-base-multilingual?

Conversational AI and free-form text generation
Summarization or creative writing workloads
Audio, image, or video generation tasks

How does jina-reranker-v2-base-multilingual compare to similar models?

This is a reranking model. Compared to general-purpose generators, rerankers are optimized for ordering candidates by relevance. When comparing similar models, evaluate relevance quality on your retrieval set and how pricing scales with the number and length of candidates.

Understanding jina-reranker-v2-base-multilingual pricing

jina-reranker-v2-base-multilingual is a reranking model provided by Jina AI.
Input tokens are priced at $0.02 per 1M tokens.
Output tokens are priced at $0.02 per 1M tokens.
The model supports a maximum input capacity of 1,024 tokens.
Maximum output length is 1,024 tokens.
For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
Jina AI offers jina-reranker-v2-base-multilingual for reranking workloads — search relevance improvements and RAG reranking.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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