rerank-2.5

rerank-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70%…

Context
32K
Max output
Unknown
Input
$0.00
Output
$0.00
DECISION SUMMARY

Recommended use cases

Strengths in this dataset

  • 32,000-token context window
  • text input
  • 0 supported API parameters listed

Limits and caveats

  • Provider behavior and pricing can change; verify the linked sources before production use.
CAPABILITIES

Capability

Model-native facts

Model
Reasoning
Unknown
Open weights
Unknown

Provider endpoint facts

Provider endpoint
Tool calling
Not supported
Structured output
Not supported
Streaming
Unknown
Prompt cache
Unknown
Batch
Unknown
Fine-tuning
Unknown
PROVIDER PRICING

rerank-2.5 Provider pricing

Provider endpoint: voyageai/rerank-2.5

Input
$0.00
per 1M tokens
Output
$0.00
per 1M tokens
Cached input
Unknown
per 1M tokens
Image output
Unknown
per 1M tokens
SOURCE RECORDS

Sources and verification

OpenRouter Models API

Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters

MODEL FAQ

Frequently asked questions

Answers are generated from the same sourced model and provider facts shown above.

rerank-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70%…

Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.