Learn about supported models

For mobile and web apps, the Firebase AI Logic  SDKs let you interact with the supported Gemini modelsand Imagen modelsdirectly from your app.

Gemini models are considered multimodal because they're capable of processing and even generating multiple modalities, including text, code, PDFs, images, video, and audio. Imagen models can be prompted with text to generate images.

The following table is a brief overview of supported models for Firebase AI Logic and their latest stable model names. This table also lists preview and experimental models that are available for prototyping use cases.

Also, review our FAQ about all the models that Firebase AI Logic supports and does not support.

Gemini models

^{1 Additional model names support the Live API depending on your chosen Gemini API provider and access (see the Live API page ).}

Imagen models

The remainder of this page provides detailed information about the models supported by Firebase AI Logic .

• Compare models :

  • Supported input and output
  • High-level comparison of the supported capabilities
  • Specifications and limitations, for example max input tokens or max length of input video

• Description of how models are versioned , specifically their stable , auto-updated , preview , and experimental versions

• Lists of available model names to include in your code during initialization

• Lists of supported languages for the models

At the bottom of this page, you can view detailed information about older models .

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Compare models

Each model has different capabilities to support various use cases. Note that each of tables in this section describe each model when used with Firebase AI Logic . Each model might have additional capabilities that aren't available when using our SDKs.

If you can't find the information you're looking for in the following sub-sections, you can find even more information in your chosen API provider documentation:

• Gemini Developer API : Gemini models and Imagen models

• Vertex AI Gemini API : Gemini models and Imagen models

Supported input and output

These are the supported input and output types when using each model with Firebase AI Logic :

To learn about supported file types, see Supported input files and requirements .

Supported capabilities and features

These are the supported capabilities and features when using each model with Firebase AI Logic :

	Gemini 2.5 Pro, Flash, Flash-Lite	Gemini 2.5 Flash Image	Gemini 2.0 Flash	Gemini 2.0 Flash- Lite	Gemini 2.0 Flash Image Generation	Gemini 2.0 Flash- Live	Imagen
Thinking
Generate text from text-only or multimodal inputs		interleaved or as part of image			interleaved or as part of image	streaming only
Generate images ( Gemini or Imagen )
Generate audio						streaming only
Generate structured output (like JSON)
Analyze documents (PDFs or plain-text)
Analyze images (vision)
Analyze video (vision)
Analyze audio						streaming only
Multi-turn chat
Bidirectional multimodal streaming
Function calling
Grounding with Google Search
System instructions
Count tokens

Specifications and limitations

These are the specifications and limitations when using each model with Firebase AI Logic :

^{* For all Gemini models, a token is equivalent to about 4 characters, so 100 tokens are about 60-80 English words. For Gemini models, you can determine the total count of tokens in your requests using countTokens .}

^{** PDFs are treated as images, so a single page of a PDF is treated as one image. The number of pages allowed in a request is limited to the number of images the model can support.}

Find additional detailed information

• Quotas and pricing are different for each model. Pricing also depends on input and output.

• Learn about supported input file types, how to specify MIME type, and how to make sure that your input files and multimodal requests meet the requirements and follow best practices in Supported input files and requirements .

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Model versioning and naming patterns

Models are offered in stable , preview , and experimental versions. For convenience, aliases without explicit version values are supported.

To find specific model names to use in your code, see the "available model names" section later on this page.

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Available model names

Model names are the explicit values that you include in your code during initialization of the model.

arrow_downward Jump to Gemini model names arrow_downward Jump to Imagen model names

Programmatically list all available models

You can list all available models names using the REST API:

• Gemini Developer API : Call the models.list endpoint

• Vertex AI Gemini API : Call the publishers.models.list endpoint

Note that this returned list will include all models supported by the API providers, but Firebase AI Logic only supports the Gemini and Imagen models described on this page. Also note that auto-updated aliases (for example, gemini-2.0-flash ) aren't listed because they're a convenience alias for the base model.

Gemini model names

For initialization examples for your platform, see the getting started guide .

For details about the release stages (especially for use cases and billing), see model versioning and naming patterns .

Gemini 2.5 Pro model names

Model name	Description	Release stage	Release date	Retirement date
gemini-2.5-pro	Stable version of Gemini 2.5 Pro	Stable	2025-06-17	No earlier than 2026-06-17

Gemini 2.5 Flash model names

Model name	Description	Release stage	Release date	Retirement date
gemini-2.5-flash	Stable version of Gemini 2.5 Flash	Stable	2025-06-17	No earlier than 2026-06-17

Gemini 2.5 Flash‑Lite model names

Model name	Description	Release stage	Release date	Retirement date
gemini-2.5-flash-lite	Stable version of Gemini 2.5 Flash‑Lite	Stable	2025-07-22	No earlier than 2026-07-22

Gemini 2.5 Flash Image model names (aka "nano banana")

Model name	Description	Release stage	Release date	Retirement date
gemini-2.5-flash-image-preview	Preview version for Gemini 2.5 Flash Image (aka "nano banana")	Preview	2025-08-26	To be determined

Gemini 2.5 Flash Live model names

Model name	Description	Release stage	Release date	Retirement date
gemini-live-2.5-flash	Stable version for Gemini 2.5 Flash Live	Stable (private GA) 1	2025-06-01	No earlier than 2026-06-01
gemini-live-2.5-flash-preview 2	Preview version for Gemini 2.5 Flash Live	Preview	2025-06-01	To be determined

Take note that in the 2.5 model names for the Live API , the live segment immediately follows the gemini segment.

^{1 Reach out to your Google Cloud account team representative to request access.}

^{2 Not supported by the Vertex AI Gemini API regardless of how you access the API.}

Gemini 2.0 Flash model names

Model name	Description	Release stage	Release date	Retirement date
gemini-2.0-flash-001	Latest stable version of Gemini 2.0 Flash	Stable	2025-02-05	No earlier than 2026-02-05
gemini-2.0-flash	Auto-updated alias pointing to the latest stable version of Gemini 2.0 Flash (currently gemini-2.0-flash-001 )	Stable	2025-02-10	---

Gemini 2.0 Flash‑Lite model names

Model name	Description	Release stage	Release date	Retirement date
gemini-2.0-flash-lite-001	Latest stable version of Gemini 2.0 Flash‑Lite	Stable	2025-02-25	No earlier than 2026-02-25
gemini-2.0-flash-lite	Auto-updated alias pointing to the latest stable version of Gemini 2.0 Flash‑Lite (currently gemini-2.0-flash-lite-001 )	Stable	2025-02-25	---

Gemini 2.0 Flash Image Generation model names

Model name	Description	Release stage	Release date	Retirement date
gemini-2.0-flash-preview-image-generation	Preview version for Gemini 2.0 Flash Image Generation	Preview	2025-05-06	To be determined

Gemini 2.0 Flash Live model names

Model name	Description	Release stage	Release date	Retirement date
gemini-2.0-flash-live-001 2	Stable version for Gemini 2.0 Flash Live	Stable	2025-04-01	No earlier than 2026-04-01
gemini-2.0-flash-live-preview-04-09	Preview version for Gemini 2.0 Flash Live	Preview	2025-04-09	To be determined

^{2 Not supported by the Vertex AI Gemini API regardless of how you access the API.}

Imagen model names

For initialization examples for your platform, see the generate images with Imagen guide .

For details about the release stages (especially for use cases and billing), see model versioning and naming patterns .

Imagen 4 model names

Model name	Description	Release stage	Release date	Retirement date
imagen-4.0-generate-001	Stable version of Imagen 4	Stable	2025-08-14	No earlier than 2026-08-14
imagen-4.0-generate-preview-06-06	Preview version of Imagen 4	Preview	2025-06-06	As early as 2025-08-14

Imagen 4 Fast model names

Model name	Description	Release stage	Release date	Retirement date
imagen-4.0-fast-generate-001	Stable version of Imagen 4 Fast	Stable	2025-08-14	No earlier than 2026-08-14
imagen-4.0-fast-generate-preview-06-06 3	Preview version of Imagen 4 Fast (will be retired soon - do not use)	Preview	2025-06-06	As early as 2025-08-14

Imagen 4 Ultra model names

Model name	Description	Release stage	Release date	Retirement date
imagen-4.0-ultra-generate-001	Stable version of Imagen 4 Ultra	Stable	2025-08-14	No earlier than 2026-08-14
imagen-4.0-ultra-generate-preview-06-06	Preview version of Imagen 4 Ultra (will be retired soon - do not use)	Preview	2025-06-06	As early as 2025-08-14

Imagen 3 model names

Model name	Description	Release stage	Release date	Retirement date
imagen-3.0-generate-002	Latest stable version of Imagen 3	Stable	2025-01-23	No earlier than 2026-01-23
imagen-3.0-generate-001 3	Initial stable version of Imagen 3	Stable	2024-07-31	No earlier than 2025-07-31

Imagen 3 Fast model names

Model name	Description	Release stage	Release date	Retirement date
imagen-3.0-fast-generate-001 3	Initial stable version of Imagen 3 Fast	Stable	2024-07-31	No earlier than 2025-07-31

^{3 Not supported by the Gemini Developer API regardless of how you access the API.}

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Supported languages

Gemini

• 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)

Imagen

• General availability: English

• Preview: Chinese (simplified), Chinese (traditional), Hindi, Japanese, Korean, Portuguese, Spanish

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Information about older models

Firebase AI Logic supports the older active Gemini models (like Gemini 1.5 models).

Firebase AI Logic does not support the older Imagen models (like Imagen 2 ).

Model	Input	Output	Optimized for
Gemini 1.5 Pro gemini-1.5-pro-002	text, code, PDFs, images, video, audio	text, code, JSON	Supports complex reasoning tasks requiring more intelligence; 2M long context
Gemini 1.5 Flash gemini-1.5-flash-002	text, code, PDFs, images, video, audio	text, code, JSON	Offers fast and versatile performance across a diverse variety of tasks
Gemini 1.0 Pro Vision gemini-1.0-pro-vision-001	text, code, PDFs, images, video (frames only)	text, code	Handles text, images, and video for text or code responses. Cannot be used for chat.
Gemini 1.0 Pro gemini-1.0-pro-002	text, code	text, code	Natural language tasks, multi-turn text and code chat, and code generation

View supported input and output of older models

These are the input and output types when using each model with Firebase AI Logic :