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The small one in OpenAI's third-gen text embeddings. Outputs 1536 dimensions by default, and the dimensions parameter lets you trim it as low as 256 to save storage and cost. Retrieval beats the old ada-002, and it's cheap and fast enough to run at scale for search, clustering and RAG.

The small one in OpenAI's third-gen text embeddings. Outputs 1536 dimensions by default, and the dimensions parameter lets you trim it as low as 256 to save storage and cost. Retrieval beats the old ada-002, and it's cheap and fast enough to run at scale for search, clustering and RAG.

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Embedding model for semantic search, retrieval, clustering, and ranking pipelines

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OpenAI 第三代嵌入模型，比第二代模型更快、更便宜，适用于大多数任务

OpenAI 第三代嵌入模型，比第二代模型更快、更便宜，适用于大多数任务

原站按任务参数或阶梯规则计价，请在原站选择具体规格。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Embedding model for semantic search, retrieval, clustering, and ranking pipelines