Supported AI models

You can use Model endpoint management to register any text embedding, multimodal embedding, ranking, or generic model endpoints. model endpoint management also includes models with built-in support and pre-registered Vertex AI models. For more information about different model types, see Model type .

Models with built-in support

This section lists the model names and types for the Vertex AI, OpenAI, and Anthropic models.

Vertex AI

Model type	Model name
`text-embedding`	`text-embedding-004`
`text-embedding`	`text-embedding-005`
`text-embedding`	`text-embedding-preview-0815`
`text-embedding`	`text-multilingual-embedding-002`
`text-embedding`	`text-embedding-large-exp-03-07` ^*
`multimodal_embedding`	`multimodalembedding@001`
`reranking`	`semantic-ranker-default-003`

The text-embedding-large-exp-03-07 model is available only in the us-central1 region.

OpenAI

Model type	Qualified model name
`text-embedding`	`text-embedding-ada-002`
`text-embedding`	`text-embedding-3-small`
`text-embedding`	`text-embedding-3-large`

Anthropic

Model type	Qualified model name
`generic`	`claude-3-opus-20240229`
`generic`	`claude-3-sonnet-20240229`
`generic`	`claude-3-haiku-20240307`

Pre-registered Vertex AI models

The following table lists the model types and IDs of pre-registered Vertex AI models.

Model type	Model ID
`text-embedding`	`text-embedding-005`
`text-embedding`	`gemini-embedding-001`
`text-embedding`	`text-multilingual-embedding-002`
`multimodal-embedding`	`multimodalembedding`
`multimodal-embedding`	`multimodalembedding@001`
`reranking`	`semantic-ranker-512`
`reranking`	`semantic-ranker-default-002`
`reranking`	`semantic-ranker-default-003`
`reranking`	`semantic-ranker-default-004`
`reranking`	`semantic-ranker-fast-004`
`llm`	`gemini-2.0-flash`
`llm`	`gemini-2.5-flash`
`llm`	`gemini-2.0-flash-lite`
`llm`	`gemini-2.5-flash-lite`
`llm`	`gemini-2.5-pro`