Learn about supported models

For mobile and web apps, the Firebase AI Logic  SDKs let you interact with the supported Gemini 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.

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

General use models

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Image generating models

You can generate and edit images with Gemini models.

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Gemini

Imagen (Deprecated)

For details about Imagen models, see Older Imagen models later on this page.

Audio generating models

You can generate streamed audio with models that support the Gemini Live API .

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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 previous generation 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 or Vertex AI Gemini API .

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 3 & 3.1 Pro, Flash, Flash‑Lite	Gemini 3 & 3.1 Pro, Flash Image	Gemini 2.5 Pro, Flash, Flash‑Lite	Gemini 2.5 Flash Image	Gemini 2.5 Flash‑Live ***
Thinking
Generate text from text-only or multimodal inputs		interleaved or as part of image		interleaved or as part of image	transcription only
Generate images
Edit images
Generate audio					streaming only
Generate structured output (like JSON)
Analyze documents (PDFs or plain-text)
Analyze images (vision)
Analyze video (vision)					streaming only
Analyze audio					streaming only
Multi-turn chat					streaming only
Bidirectional multimodal streaming
System instructions
Count tokens

Supported tools

These are the supported tools when using each model with Firebase AI Logic :

	Gemini 3 & 3.1 Pro, Flash, Flash‑Lite	Gemini 3 & 3.1 Pro, Flash Image	Gemini 2.5 Pro, Flash, Flash‑Lite	Gemini 2.5 Flash Image	Gemini 2.5 Flash‑Live ***
Function calling
Code execution
URL context
Grounding with Google Search

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.}

^{*** Gemini 2.5 Flash-Live models are the native audio models that support the Gemini Live API .}

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 (Deprecated)

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, billing, and shutdown), see model versioning and naming patterns .

Gemini 3.1 Pro model names

^{Requires the pay-as-you-go Blaze pricing plan regardless of your Gemini API provider.}

Model name	Description	Release stage	Release date	Shutdown date
gemini-3.1-pro-preview	Latest preview version of Gemini 3 Pro	Preview	2026-02-19	To be determined

Gemini 3 Flash model names

^{Does notrequire the pay-as-you-go Blaze pricing plan if you're using the Gemini Developer API (usually preview models require a paid plan).}

Model name	Description	Release stage	Release date	Shutdown date
gemini-3-flash-preview	Preview version of Gemini 3 Flash	Preview	2025-12-17	To be determined

Gemini 3.1 Flash‑Lite model names

^{Does notrequire the pay-as-you-go Blaze pricing plan if you're using the Gemini Developer API (usually preview models require a paid plan).}

Model name	Description	Release stage	Release date	Shutdown date
gemini-3.1-flash-lite-preview	Preview version of Gemini 3.1 Flash‑Lite	Preview	2026-03-03	To be determined

Gemini 3 Pro Image model names (aka "Nano Banana Pro")

^{Requires the pay-as-you-go Blaze pricing plan regardless of your Gemini API provider.}

Model name	Description	Release stage	Release date	Shutdown date
gemini-3-pro-image-preview	Preview version of Gemini 3 Pro Image (aka "Nano Banana Pro")	Preview	2025-11-20	To be determined

Gemini 3.1 Flash Image model names (aka "Nano Banana 2")

^{Requires the pay-as-you-go Blaze pricing plan regardless of your Gemini API provider.}

Model name	Description	Release stage	Release date	Shutdown date
gemini-3.1-flash-image-preview	Preview version of Gemini 3.1 Flash Image (aka "Nano Banana 2")	Preview	2026-02-26	To be determined

Gemini 2.5 Pro model names

^{Does notrequire the pay-as-you-go Blaze pricing plan if you're using the Gemini Developer API .}

Model name	Description	Release stage	Release date	Shutdown 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

^{Does notrequire the pay-as-you-go Blaze pricing plan if you're using the Gemini Developer API .}

Model name	Description	Release stage	Release date	Shutdown 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

^{Does notrequire the pay-as-you-go Blaze pricing plan if you're using the Gemini Developer API .}

Model name	Description	Release stage	Release date	Shutdown 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")

^{Requires the pay-as-you-go Blaze pricing plan regardless of your Gemini API provider.}

Model name	Description	Release stage	Release date	Shutdown date
gemini-2.5-flash-image	Stable version for Gemini 2.5 Flash Image (aka "Nano Banana")	Stable	2025-10-02	No earlier than 2026-10-02

Gemini 2.5 Flash Live model names

^{Does notrequire the pay-as-you-go Blaze pricing plan if you're using the Gemini Developer API (usually preview models require a paid plan).}

Gemini 2.5 Flash Live models are the native audio models that support the Gemini Live API . Even though the model has different model names depending on the Gemini API provider, the behavior and features of the model are the same.

Gemini Developer API Model name	Description	Release stage	Release date	Shutdown date
gemini-2.5-flash-native-audio-preview-12-2025 1	Latest preview version for the Live API on the Gemini Developer API	Preview	2025-12-12	To be determined
gemini-2.5-flash-native-audio-preview-09-2025 1	Initial preview version for the Live API on the Gemini Developer API	Preview	2025-09-18	To be determined

Vertex AI Gemini API Model name	Description	Release stage	Release date	Shutdown date
gemini-live-2.5-flash-native-audio 2	Stable version for the Live API on the Vertex AI Gemini API	Stable	2025-12-12	No earlier than 2026-12-12
gemini-live-2.5-flash-preview-native-audio-09-2025 2	Preview version for the Live API on the Vertex AI Gemini API	Preview	2025-09-18	To be determined

^{1 Only supported by the Gemini Developer API . Also, even though these are preview models, they're available on the "free tier" of the Gemini Developer API . 2 Only supported by the Vertex AI Gemini API . Also, these models are not supported in the global location.}

Imagen model names (Deprecated)

For Imagen model names, see Older Imagen models later on this page.

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Supported languages

• 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)

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Information about previous models

The following are active, but previous generation models. We recommend using one of the latest models instead when possible.

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

Older Gemini models

• gemini-2.0-flash-001 (and its auto-updated alias gemini-2.0-flash )
• gemini-2.0-flash-lite-001 (and its auto-updated alias gemini-2.0-flash-lite )

For information about older Gemini Live API models, see the Gemini API provider documentation:

• gemini-2.0-flash-live-001
• gemini-2.0-flash-live-preview-04-09
• gemini-live-2.5-flash-preview

Older Imagen models

• imagen-4.0-ultra-generate-001
• imagen-4.0-generate-001
• imagen-4.0-fast-generate-001
• imagen-3.0-capability-001
• imagen-3.0-generate-002
• imagen-3.0-generate-001
• imagen-3.0-fast-generate-001

View details about about previous models

View supported input and output of previous generation models

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