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
/ 1M tokens · Token reference
/ 1M tokens · Token reference
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