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| 2 models | voyageaiVoyageAI by MongoDB: rerank-2.5Remove × | nvidiallama-nemotron-rerank-vl-1b-v2Remove × |
|---|---|---|
| What’s different | 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%... | The llama-nemotron-rerank-vl-1b-v2 is a 1.7B parameter multimodal reranking model designed to evaluate and order the relevance of document images and text against specific user queries. It excels at… |
| Date | Jul 27, 2026Listed | Mar 12, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | See provider quotes |
| Provider endpoints | 0 endpoints → | 0 endpoints → |
Specifications | ||
| Context window | 32K | 10.2K |
| Max output | 28.8K | — |
| Parameters | — | 1B |
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Search all models →nvidiaNVIDIA: Nemotron 3.5 Rerank 8B (free)nvidiaNemotron-3.5-Rerank-8B-BF16voyageaiVoyageAI by MongoDB: rerank-3-litevoyageaiVoyageAI by MongoDB: rerank-3voyageaiVoyageAI by MongoDB: rerank-2.5-litenvidiaNVIDIA: Llama Nemotron Rerank VL 1B V2 (free)cohereCohere: Rerank 4 ProcohereCohere: Rerank 4 Fast