Models692 models

NVIDIA: Nemotron 3.5 Rerank 8B (free)

nvidia/nemotron-3.5-rerank-8b:free

NVIDIA: Nemotron 3.5 Rerank 8B (free) is a reranking model from NVIDIA, published under the model id nvidia/nemotron-3.5-rerank-8b:free. It belongs to the rerank category, so its job is not to generate conversational text but to score and reorder a set of candidate items against a query. The…

VoyageAI by MongoDB: rerank-3-lite

voyageai/rerank-3-lite

VoyageAI by MongoDB: rerank-3-lite is a reranking model from Voyage AI, a provider whose models are now associated with MongoDB. It sits in the rerank category, which means its job is not to generate text but to take a set of candidate documents and reorder them by relevance to a query. It is…

VoyageAI by MongoDB: rerank-3

voyageai/rerank-3

VoyageAI by MongoDB: rerank-3 is a reranking model from Voyage AI, a provider now part of MongoDB. It sits in the rerank category, and Voyage AI positions it as an optimized reranker and a drop-in upgrade to rerank-2.5. This is not a chat or text generation model: it exists to take a set of…

Qwen3 Reranker 8B

qwen/qwen3-reranker-8b

Qwen3 Reranker 8B is a text reranking model from Qwen, the model family from Alibaba Cloud, and it is built on the Qwen3 architecture. Its main category is rerank, and that is the only category it covers. Rather than generating prose, it evaluates query-document pairs and produces relevance scores,…

VoyageAI by MongoDB: rerank-2.5-lite

voyageai/rerank-2.5-lite

VoyageAI by MongoDB: rerank-2.5-lite is a reranking model from Voyage AI, a provider whose reranking family is now part of MongoDB. It sits in the rerank category, so its job is not to generate text but to take a set of candidate documents and reorder them by relevance to a query. The provider…

VoyageAI by MongoDB: rerank-2.5

voyageai/rerank-2.5

VoyageAI by MongoDB: rerank-2.5 is a reranking model from Voyage AI, a provider whose rerankers are distributed under the VoyageAI by MongoDB name. It sits in the rerank category, which means its job is not to generate text but to take a set of candidate documents and reorder them by relevance to a…

NVIDIA: Llama Nemotron Rerank VL 1B V2 (free)

nvidia/llama-nemotron-rerank-vl-1b-v2:free

NVIDIA: Llama Nemotron Rerank VL 1B V2 (free) is a multimodal reranking model from NVIDIA. It belongs to the rerank category, and its job is narrower than that of a chat or generation model: it evaluates how relevant a document is to a user query. The model is a 1.7B parameter system, and the…

Cohere: Rerank 4 Pro

cohere/rerank-4-pro

Cohere: Rerank 4 Pro is a reranking model from Cohere, built as an AI search foundation model. Its job is to improve the relevance of information surfaced within search and retrieval-augmented generation systems. Rather than generating text, it scores and reorders candidate documents so that the…

Cohere: Rerank 4 Fast

cohere/rerank-4-fast

Cohere: Rerank 4 Fast is a reranking model from Cohere, released by the provider on 6 April 2026. It sits in the rerank category rather than the chat or generation category: instead of writing an answer, it scores and reorders a list of candidate documents against a query so that the most relevant…

Cohere: Rerank v3.5

cohere/rerank-v3.5

Cohere: Rerank v3.5 is a reranking model from Cohere, listed under the rerank category. It is made by Cohere and is identified on api14 by the model id cohere/rerank-v3.5. Rather than generating free form text, the model is built to reorder search results so that the most relevant items appear…