Models · NovaRouter

Showing 9 / 667 · Catalog updated 2026-10-14 17:11 UTC

VoyageAI by MongoDB: rerank-3-litererank-3-lite is a reranker optimized for both latency and quality and a drop-in upgrade to rerank-2.5-lite, improving on it by 0.94% NDCG@10 on avera…by Voyage · Sep 30, 202632K ContextFree InputFree Output
VoyageAI by MongoDB: rerank-3rerank-3 is a reranker optimized for quality and a drop-in upgrade to rerank-2.5, improving on it by 0.80% NDCG@10 on average across domain evaluation…by Voyage · Sep 30, 202632K ContextFree InputFree Output
VoyageAI by MongoDB: voyage-code-4voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embedd…by Voyage · Aug 13, 202632K Context$0.12 Input$0 Output
VoyageAI by MongoDB: rerank-2.5-litererank-2.5-lite is a reranker optimized for both latency and quality, delivering a 7.16% improvement in retrieval accuracy over Cohere Rerank v3.5 acr…by Voyage · Jul 27, 202632K ContextFree InputFree Output
VoyageAI by MongoDB: rerank-2.5rerank-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 da…by Voyage · Jul 27, 202632K ContextFree InputFree Output
VoyageAI by MongoDB: voyage-multimodal-3.5voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also…by Voyage · Jul 27, 202632K Context$0.12 Input$0 Output
VoyageAI by MongoDB: voyage-4-litevoyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aw…by Voyage · Jul 27, 202632K Context$0.02 Input$0 Output
VoyageAI by MongoDB: voyage-4voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embedding…by Voyage · Jul 27, 202632K Context$0.06 Input$0 Output
VoyageAI by MongoDB: voyage-4-largevoyage-4-large is a state-of-the-art general-purpose and multilingual embedding optimized for retrieval quality. Enabled by Matryoshka learning and qu…by Voyage · Jul 27, 202632K Context$0.12 Input$0 Output