Calculate the cost of using rerank-2.5-lite from Voyage for your AI applications
Mode: Rerank
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
rerank-2.5-lite is a powerful rerank AI model offered by Voyage. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using rerank-2.5-lite in your applications.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,000 input tokens. The maximum output length is 32,000 tokens.
rerank-2.5-lite is best suited for the following scenarios:
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.
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.
