Google models

Stay organized with collections Save and categorize content based on your preferences.

Vertex AI features a growing list of foundation models that you can test, deploy, and customize for use in your AI-based applications. Foundation models are fine-tuned for specific use cases and offered at different price points. This page summarizes the models that are available in the various APIs and gives you guidance on which models to choose by use case.

For more information about all AI models and APIs on Vertex AI, see Explore AI models in Model Garden.

Gemini models

The following table summarizes the models available in the Gemini API. For more information about API details, see the Gemini API reference.

To explore a model in the Google Cloud console, select its model card in the Model Garden.

Model	Inputs	Outputs	Use case	Try the model
Gemini 2.0 Flash gemini-2.0-flash	Text, Code, Images, Audio, Video, Video with Audio, PDF	Text, Audio (private preview), Images (private preview)	Workhorse model for all daily tasks. Strong overall performance and supports real-time streaming Live API.	Try Gemini 2.0 Flash
Gemini 2.5 Pro Experimental gemini-2.5-pro-exp-03-25	Text, Images, Video, Audio, PDF	Text	Most advanced reasoning Gemini model, especially for multimodal understanding, coding, and world knowledge.	Try Gemini 2.5 Pro Experimental
Gemini 2.0 Flash-Lite gemini-2.0-flash-lite	Text, Images, Video, Audio, PDF	Text	Our cost effective offering to support high throughput.	Try Gemini 2.0 Flash-Lite
Gemini 2.0 Flash Thinking gemini-2.0-flash-thinking-exp-01-21	Text, Images	Text	Provides stronger reasoning capabilities and includes the thinking process in responses.	Try Gemini 2.0 Flash Thinking

The following information provides details for each Gemini model.

Gemini language support

• All the Gemini models can understand and respond in the following languages:

  Arabic (ar), Bengali (bn), Bulgarian (bg), Chinese simplified and traditional (zh), Croatian (hr), Czech (cs), Danish (da), Dutch (nl), English (en), Estonian (et), Finnish (fi), French (fr), German (de), Greek (el), Hebrew (iw), Hindi (hi), Hungarian (hu), Indonesian (id), Italian (it), Japanese (ja), Korean (ko), Latvian (lv), Lithuanian (lt), Norwegian (no), Polish (pl), Portuguese (pt), Romanian (ro), Russian (ru), Serbian (sr), Slovak (sk), Slovenian (sl), Spanish (es), Swahili (sw), Swedish (sv), Thai (th), Turkish (tr), Ukrainian (uk), Vietnamese (vi)

• Gemini 2.0 Flash, Gemini 1.5 Pro and Gemini 1.5 Flash models can understand and respond in the following additional languages:

  Afrikaans (af), Amharic (am), Assamese (as), Azerbaijani (az), Belarusian (be), Bosnian (bs), Catalan (ca), Cebuano (ceb), Corsican (co), Welsh (cy), Dhivehi (dv), Esperanto (eo), Basque (eu), Persian (fa), Filipino (Tagalog) (fil), Frisian (fy), Irish (ga), Scots Gaelic (gd), Galician (gl), Gujarati (gu), Hausa (ha), Hawaiian (haw), Hmong (hmn), Haitian Creole (ht), Armenian (hy), Igbo (ig), Icelandic (is), Javanese (jv), Georgian (ka), Kazakh (kk), Khmer (km), Kannada (kn), Krio (kri), Kurdish (ku), Kyrgyz (ky), Latin (la), Luxembourgish (lb), Lao (lo), Malagasy (mg), Maori (mi), Macedonian (mk), Malayalam (ml), Mongolian (mn), Meiteilon (Manipuri) (mni-Mtei), Marathi (mr), Malay (ms), Maltese (mt), Myanmar (Burmese) (my), Nepali (ne), Nyanja (Chichewa) (ny), Odia (Oriya) (or), Punjabi (pa), Pashto (ps), Sindhi (sd), Sinhala (Sinhalese) (si), Samoan (sm), Shona (sn), Somali (so), Albanian (sq), Sesotho (st), Sundanese (su), Tamil (ta), Telugu (te), Tajik (tg), Uyghur (ug), Urdu (ur), Uzbek (uz), Xhosa (xh), Yiddish (yi), Yoruba (yo), Zulu (zu)

Gemma models

The following table summarizes Gemma models.

Model	Inputs	Outputs	Use case	Try the model
Gemma 3 Model details	Text, Images	Text	A small-sized, lightweight open model supporting text generation and image understanding tasks, including question answering, summarization, and reasoning. Deployable in environments with limited resources.	Try Gemma 3
Gemma 2 Model details	Text	Text	A small-sized, lightweight open text model supporting text generation, summarization, and extraction. Deployable in environments with limited resources.	Try Gemma 2
Gemma Model details	Text	Text	A small-sized, lightweight open text model supporting text generation, summarization, and extraction. Deployable in environments with limited resources.	Try Gemma
CodeGemma Model details	Text, Code, PDF	Text	A collection of lightweight open code models built on top of Gemma. Best for code generation and completion.	Try CodeGemma
PaliGemma 2 Model details	Text, Images	Text	A lightweight vision-language model (VLM). Best for image captioning tasks and visual question and answering tasks.	Try PaliGemma 2
PaliGemma Model details	Text, Images	Text	A lightweight vision-language model (VLM). Best for image captioning tasks and visual question and answering tasks.	Try PaliGemma
ShieldGemma 2 Model details	Text, Images	Text	A lightweight vision-language model (VLM) that checks the safety of synthetic and natural images to help you build robust datasets and models.	Try ShieldGemma 2

Gemma language support

Gemma and Gemma 2 support only the English language. Gemma 3 provides multilingual support in over 140 languages.

Embeddings models

The following table summarizes the models available in the Embeddings API.

Model name	Description	Specifications	Try the model
Embeddings for text (text-embedding-004, text-embedding-005) Model details	Returns embeddings for English text inputs. Supports supervised tuning of Embeddings for text models, English only.	Max token input: 2,048. Embedding dimensions: text-embedding-004, text-embedding-005: <=768. Others: 768.	Try Embeddings for text
Embeddings for text multilingual (text-multilingual-embedding-002) Model details	Returns embeddings for text inputs of over 100 languages Supports supervised tuning of the text-multilingual-embedding-002 model. Supports 100 languages.	Max token input: 2,048. Embedding dimensions: text-multilingual-embedding-002: <=768. Others: 768.	Try Embeddings for text multilingual
Embeddings for multimodal (multimodalembedding) Model details	Returns embedding for text, image, and video inputs, to compare content across different models. Converts text, image, and video into the same vector space. Video only supports 1408 dimensions. English only	Max token input: 32. Max image size: 20 MB. Max video length: Two minutes. Embedding dimensions: 128, 256, 512, or 1408 for text+image input, 1408 for video input.	Try Embeddings for multimodal
Embeddings for text (English, multilingual, Code) (text-embedding-large-exp-03-07) Model details	Returns embeddings for text inputs in over 100 languages, as well as Python and Java code. This is an experimental model. Experimental models don't follow Google's standard model lifecycle plan and versioning scheme, and one model can be swapped for another without prior notice. We also don't guarantee that an experimental model will become a stable model in the future.	Max token input: 8192 Embedding dimensions: 3072	Try Embeddings for large text

Embeddings language support

Text multilingual embedding models support the following languages:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Burmese, Catalan, Cebuano, Chichewa, Chinese, Corsican, Czech, Danish, Dutch, English, Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Haitian Creole, Hausa, Hawaiian, Hebrew, Hindi, Hmong, Hungarian, Icelandic, Igbo, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish, Kyrgyz, Lao, Latin, Latvian, Lithuanian, Luxembourgish, Macedonian, Malagasy, Malay, Malayalam, Maltese, Maori, Marathi, Mongolian, Nepali, Norwegian, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Samoan, Scottish Gaelic, Serbian, Shona, Sindhi, Sinhala, Slovak, Slovenian, Somali, Sotho, Spanish, Sundanese, Swahili, Swedish, Tajik, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Uzbek, Vietnamese, Welsh, West Frisian, Xhosa, Yiddish, Yoruba, Zulu.

Imagen model

The following table summarizes the models available in the Imagen API:

Model	Inputs	Outputs	Use case	Try the model
Imagen 3 (imagen-3.0-generate-001, imagen-3.0-fast-generate-001) Imagen 2 (imagegeneration@006, imagegeneration@005) Imagen (imagegeneration@002) Model details	Text	Images	This model supports image generation and editing to create high quality images in seconds. This includes image generation using zero-shot learning.	Try Imagen for image generation
Imagen 3 (Editing and customization) (imagen-3.0-capability-001) Imagen 2 (Editing) (imagegeneration@006) Imagen (Editing) imagegeneration@002) Model details	Text and images	Images	This model supports image editing and customized (few-shot) image generation to create high quality images in seconds. The editing feature supports inpainting (object removal or insertion), outpainting, and product image editing. Customization supports few-shot learning, letting you provide reference images to guide generation of output images. This model supports the following types of customization: subject (product, person, and animal companion), style, controlled customization (scribble or canny edge), and instruct customization (style transfer).	Try Imagen for editing and customization

Imagen 3 language support

Imagen 3 supports the following languages:
English, Chinese, Hindi, Japanese, Korean, Portuguese, and Spanish.

Code completion model

The following table summarizes the models available in the Codey APIs:

Model	Inputs	Outputs	Use case	Try the model
Codey for Code Completion (code-gecko) Model details	Code in supported languages	Code in supported languages	A model fine-tuned to suggest code completion based on the context in code that's written.	Try Codey for Code Completion

Code completion model language support

The Code completion model supports the English language.

MedLM models

The following table summarizes the models available in the MedLM API:

Model name	Description	Specifications	Try the model
MedLM-medium (medlm-medium) Model details	A HIPAA-compliant suite of medically tuned models and APIs powered by Google Research. This model helps healthcare practitioners with medical question and answer tasks, and summarization tasks for healthcare and medical documents. Provides better throughput and includes more recent data than the medlm-large model.	Max tokens (input + output): 32,768. Max output tokens: 8,192.	Try MedLM-medium
MedLM-large (medlm-large) Model details	A HIPAA-compliant suite of medically tuned models and APIs powered by Google Research. This model helps healthcare practitioners with medical question and answer tasks, and summarization tasks for healthcare and medical documents.	Max input tokens: 8,192. Max output tokens: 1,024.	Try MedLM-large

MedLM Provisioned Throughput support

MedLM-medium and MedLM-large support Provisioned Throughput. See Supported models.

MedLM language support

The MedLM model supports the English language.

Locations

For a list of locations where these models are available, see Generative AI on Vertex AI locations.

Model versions

To learn about model versions, see Model versions.

Explore all models in Model Garden

Model Garden is a platform that helps you discover, test, customize, and deploy Google proprietary and select OSS models and assets. To explore the generative AI models and APIs that are available on Vertex AI, go to Model Garden in the Google Cloud console.

Go to Model Garden

To learn more about Model Garden, including available models and capabilities, see Explore AI models in Model Garden.

What's next

• Try a quickstart tutorial using Vertex AI Studio or the Vertex AI API.
• Learn how to test text prompts.
• Learn how to test chat prompts.
• Explore pretrained models in Model Garden.
• Learn how to tune a foundation model.
• Learn about responsible AI best practices and Vertex AI's safety filters.
• Learn how to control access to specific models in Model Garden by using a Model Garden organization policy.