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VoyageAI by MongoDB: rerank-3

来源介绍（英文）

rerank-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 evaluations and by 3.35% on long-document evaluations,...

在 OpenRouter 查看来源
模型概览

模型规格

上下文
32,000 tokens
最大输出
28,800 tokens
架构
text->rerank
分词器
Other
知识截止时间
暂未提供
内容审核
否
OPENROUTER

完整价格

同步自 OpenRouter。Token 价格均按每百万 Token 展示。

输入
$0.05
每百万输入 Token
API

快速调用

在本地设置 OPENROUTER_API_KEY。Python 需安装 requests；JavaScript 在 Node.js 中运行。密钥应保存在服务端。

API 文档

curl --fail-with-body https://openrouter.ai/api/v1/rerank \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"voyageai/rerank-3","query":"What is the capital of France?","documents":["Paris is the capital of France.","Berlin is the capital of Germany."],"top_n":1}'
能力与模态

输入 → 输出

输入
text
输出
rerank
API

支持的 API 参数

可用提供方

1 提供方

核验日期: 2026年10月2日

在 OpenRouter 查看实时 Provider

Provider 可用性、延迟、吞吐量和路由会持续变化，请前往来源页面查看实时运行数据。

OpenRouter

VoyageAI by MongoDB

暂未提供
上下文
32K
最大输出
29K
voyageai

4 个模型

全部模型
voyageai logovoyageai

VoyageAI by MongoDB: rerank-3-lite

rerank-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 average across domain evaluations and by 1.86%...

上下文
32K
输入
text
输出
rerank
输入: $0.02 每百万输入 Token
查看模型详情 →
voyageai logovoyageai

VoyageAI by MongoDB: voyage-code-4

voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048t voyage-code-4 here: mongodb.com/products/platform/ai-search-and-retrieval/models

上下文
32K
输入
text
输出
embeddings
输入: $0.12每百万 Token
查看模型详情 →
voyageai logovoyageai

VoyageAI by MongoDB: rerank-2.5-lite

rerank-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 across 93 datasets. It also outperformed Cohere Rerank v3.5...

上下文
32K
输入
text
输出
rerank
输入: $0.02 每百万输入 Token
查看模型详情 →
voyageai logovoyageai

VoyageAI by MongoDB: 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%...

上下文
32K
输入
text
输出
rerank
输入: $0.05 每百万输入 Token
查看模型详情 →