Google models

Featured Gemini models

2.5 Pro

Our most advanced reasoning Gemini model, made to solve complex problems

  • Best for multimodal understanding
  • Capable of processing complex prompts and providing well-rounded responses
  • Best for coding, particularly for web development

2.5 Flash

Our best model in terms of price-performance, offering well-rounded capabilities

  • Support for Live API included for some endpoints
  • See the model's thinking process as part of the response
  • Balances price and performance

2.5 Flash-Lite

Our most cost effective model that supports high throughput tasks

  • The fastest model in the 2.5 line of models
  • Features a 1 million token context window and multimodal input, like 2.5 Flash
  • Outperforms 2.0 Flash on most evaluation benchmarks

Generally available Gemini models

diamond Gemini 2.5 Pro Our most advanced reasoning model to date
spark Gemini 2.5 Flash Our best model in terms of price-performance, offering well-rounded capabilities
spark Gemini 2.0 Flash Our newest multimodal model, with next generation features and improved capabilities
performance_auto Gemini 2.0 Flash-Lite A Gemini 2.0 Flash model optimized for cost efficiency and low latency

Preview Gemini models

preview Gemini 2.5 Flash-Lite Our most cost effective model that supports high throughput tasks

Gemma models

Gemma 3 Our latest Gemma open model, featuring the ability to solve a wide variety of tasks with text and image input, support for over 140 languages, and long 128K context window
Gemma 2 The second of generation of our open models featuring text generation, summarization, and extraction
Gemma A small-sized, lightweight open model supporting text generation, summarization, and extraction
ShieldGemma 2 Instruction tuned models for evaluating the safety of text and images against a set of defined safety policies
PaliGemma Our open vision-language model that combines SigLIP and Gemma
CodeGemma Powerful, lightweight open model that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following
TxGemma Generates predictions, classifications or text based on therapeutic related data and can be used to efficiently build AI models for therapeutic-related tasks with less data and less compute

Embeddings models

width_normal Embeddings for Text Converts text data into vector representations for semantic search, classification, clustering, and similar tasks
width_normal Multimodal Embeddings Generates vectors based on images, which can be used for downstream tasks like image classification, image search, and more

Generally available Imagen models

photo_spark Imagen 3 for Generation Use text prompts to generate novel images
image_edit_auto Imagen 3 for Editing and Customization Use text prompts to edit existing input images, or parts of an image with a mask or generate new images based upon the context provided by input reference images
photo_spark Imagen 3 for Fast Generation Use text prompts to generate novel images with lower latency than our other image generation models
subtitles Imagen for Captioning & VQA Use text prompts to generative novel images, edit existing ones, edit parts of an image with a mask and more

Preview Imagen models

photo_spark Imagen 4 for Generation Use text prompts to generate novel images with higher quality than our previous image generation models
photo_spark Imagen 4 for Fast Generation Use text prompts to generate novel images with higher quality and lower latency than our previous image generation models
photo_spark Imagen 4 for Ultra Generation Use text prompts to generate novel images with higher quality and better prompt adherence than our previous image generation models

Veo models

movie Veo 2 for Generation Use text prompts and images to generate novel videos

Preview allowlist Veo models

movie Veo 3 for Generation Use text prompts and images to generate novel videos

MedLM models

medical_information MedLM-medium HIPAA-compliant suite of medically tuned models designed to help healthcare practitioners with medical question and answer tasks, and summarization tasks for healthcare and medical documents
clinical_notes MedLM-large-large HIPAA-compliant suite of medically tuned models designed to help healthcare practitioners with medical question and answer tasks, and summarization tasks for healthcare and medical documents

Language support

Gemini

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

Afrikaans (af), Albanian (sq), Amharic (am), Arabic (ar), Armenian (hy), Assamese (as), Azerbaijani (az), Basque (eu), Belarusian (be), Bengali (bn), Bosnian (bs), Bulgarian (bg), Catalan (ca), Cebuano (ceb), Chinese (Simplified and Traditional) (zh), Corsican (co), Croatian (hr), Czech (cs), Danish (da), Dhivehi (dv), Dutch (nl), English (en), Esperanto (eo), Estonian (et), Filipino (Tagalog) (fil), Finnish (fi), French (fr), Frisian (fy), Galician (gl), Georgian (ka), German (de), Greek (el), Gujarati (gu), Haitian Creole (ht), Hausa (ha), Hawaiian (haw), Hebrew (iw), Hindi (hi), Hmong (hmn), Hungarian (hu), Icelandic (is), Igbo (ig), Indonesian (id), Irish (ga), Italian (it), Japanese (ja), Javanese (jv), Kannada (kn), Kazakh (kk), Khmer (km), Korean (ko), Krio (kri), Kurdish (ku), Kyrgyz (ky), Lao (lo), Latin (la), Latvian (lv), Lithuanian (lt), Luxembourgish (lb), Macedonian (mk), Malagasy (mg), Malay (ms), Malayalam (ml), Maltese (mt), Maori (mi), Marathi (mr), Meiteilon (Manipuri) (mni-Mtei), Mongolian (mn), Myanmar (Burmese) (my), Nepali (ne), Norwegian (no), Nyanja (Chichewa) (ny), Odia (Oriya) (or), Pashto (ps), Persian (fa), Polish (pl), Portuguese (pt), Punjabi (pa), Romanian (ro), Russian (ru), Samoan (sm), Scots Gaelic (gd), Serbian (sr), Sesotho (st), Shona (sn), Sindhi (sd), Sinhala (Sinhalese) (si), Slovak (sk), Slovenian (sl), Somali (so), Spanish (es), Sundanese (su), Swahili (sw), Swedish (sv), Tajik (tg), Tamil (ta), Telugu (te), Thai (th), Turkish (tr), Ukrainian (uk), Urdu (ur), Uyghur (ug), Uzbek (uz), Vietnamese (vi), Welsh (cy), Xhosa (xh), Yiddish (yi), Yoruba (yo), and Zulu (zu).

Gemma

Gemma supports only the English (en) language.

Embeddings

Multilingual text embedding models support the following languages:

Afrikaans (af), Albanian (sq), Amharic (am), Arabic (ar), Armenian (hy), Azerbaijani (az), Basque (eu), Belarusian (be), Bengali (bn), Bulgarian (bg), Catalan (ca), Cebuano (ceb), Chinese (Simplified and Traditional) (zh), Corsican (co), Czech (cs), Danish (da), Dutch (nl), English (en), Esperanto (eo), Estonian (et), Filipino (Tagalog) (fil), Finnish (fi), French (fr), Frisian (fy), Galician (gl), Georgian (ka), German (de), Greek (el), Gujarati (gu), Haitian Creole (ht), Hausa (ha), Hawaiian (haw), Hebrew (iw), Hindi (hi), Hmong (hmn), Hungarian (hu), Icelandic (is), Igbo (ig), Indonesian (id), Irish (ga), Italian (it), Japanese (ja), Javanese (jv), Kannada (kn), Kazakh (kk), Khmer (km), Korean (ko), Kurdish (ku), Kyrgyz (ky), Lao (lo), Latin (la), Latvian (lv), Lithuanian (lt), Luxembourgish (lb), Macedonian (mk), Malagasy (mg), Malay (ms), Malayalam (ml), Maltese (mt), Maori (mi), Marathi (mr), Mongolian (mn), Myanmar (Burmese) (my), Nepali (ne), Nyanja (Chichewa) (ny), Norwegian (no), Pashto (ps), Persian (fa), Polish (pl), Portuguese (pt), Punjabi (pa), Romanian (ro), Russian (ru), Samoan (sm), Scots Gaelic (gd), Serbian (sr), Sesotho (st), Shona (sn), Sindhi (sd), Sinhala (Sinhalese) (si), Slovak (sk), Slovenian (sl), Somali (so), Spanish (es), Sundanese (su), Swahili (sw), Swedish (sv), Tajik (tg), Tamil (ta), Telugu (te), Thai (th), Turkish (tr), Ukrainian (uk), Urdu (ur), Uzbek (uz), Vietnamese (vi), Welsh (cy), Xhosa (xh), Yiddish (yi), Yoruba (yo), and Zulu (zu).

Imagen 3

Imagen 3 supports the following languages:

English (en), Chinese (Simplified and Traditional) (zh), Hindi (hi), Japanese (ja), Korean (ko), Portuguese (pt), and Spanish (es).

MedLM

The MedLM model supports the English (en) language.

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.

Model versions

To see all model versions, including legacy and retired models, see Model versions and lifecycle.

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