Modelsell

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Embedding & Rerank model APIs

Embedding and reranking models for semantic search, retrieval, recommendations and RAG pipelines.

4 available models

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All model pricing
Gemini

Google

gemini-embedding-2

Google 的向量模型，用于将输入内容转换为数值向量，支持语义检索和相似度计算。
Context 8.2K
Token-based
Suppliers 2-50%
Input$0.2$0.1/1MOutput$0.8$0.4/1M
BaiLian

Alibaba

text-embedding-v4

Alibaba 的向量模型，用于将输入内容转换为数值向量，支持语义检索和相似度计算。
Context 8.2K
Token-based
Suppliers 2
Input$75/1MOutput$75/1M
Gemini

Google

gemini-embedding-001

Google 的向量模型，用于将输入内容转换为数值向量，支持语义检索和相似度计算。
Context 2K
Token-based
Suppliers 2-50%
Input$0.15$0.075/1MOutput$0.15$0.075/1M
BaiLian

Alibaba

qwen3-vl-embedding

千问多模态向量模型，支持文本、图像和视频输入，用于跨模态检索与相似度计算。
Context 32K
Token-based
Suppliers 2
Input$75/1MOutput$75/1M