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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 small 版本更强大，适用于需要最高性能的任务

OpenAI 第三代嵌入模型，比 small 版本更强大，适用于需要最高性能的任务

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

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

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。

The high-accuracy sibling in OpenAI's third-gen embeddings — 3072 dimensions by default, with the option to shrink them. It scores higher than the previous generation on both English and multilingual retrieval benchmarks; you pay for it in compute and storage, so reach for it when precision matters more than cost.

The high-accuracy sibling in OpenAI's third-gen embeddings — 3072 dimensions by default, with the option to shrink them. It scores higher than the previous generation on both English and multilingual retrieval benchmarks; you pay for it in compute and storage, so reach for it when precision matters more than cost.

The high-accuracy sibling in OpenAI's third-gen embeddings — 3072 dimensions by default, with the option to shrink them. It scores higher than the previous generation on both English and multilingual retrieval benchmarks; you pay for it in compute and storage, so reach for it when precision matters more than cost.