Models Model details

VoyageAI

VoyageAI by MongoDB: rerank-2.5

voyageai/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% on the Massive Instructed Retrieval Benchmark (MAIR). The model supports a combined context length of 32K tokens per query–document pair, including up to 8K tokens for the query, enabling more accurate retrieval over longer documents. Additionally, rerank-2.5 supports instruction following, allowing users to guide relevance scoring through natural language prompts. Learn more about rerank-2.5 here: https://blog.voyageai.com/2025/08/11/rerank-2-5

Input
$0

/ 1M tokens · Token reference

Output
$0

/ 1M tokens · Token reference

Context window
32K

tokens

Rerank output · Token reference fields do not establish an output-unit price.

Limits

Context

32,000

tokens

Max output

28,800

90% of the context window

Model facts

Author

VoyageAI

Tokenizer

Other

Modality

Text -> Rerank

Created

Jul 27, 2026

Publication status

Hugging Face: not mappedLicense: not publishedParameter count: not published

Modalities

Input · TextOutput · Rerank