Learn about supported models

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

Model Input Output Description
Gemini models with stable versions
Gemini 2.5 Pro
gemini-2.5-pro 		text, code, PDFs, images, video, audio text, code, JSON Our most advanced reasoning model, capable of solving complex problems.
Gemini 2.5 Flash
gemini-2.5-flash 		text, code, PDFs, images, video, audio text, code, JSON Our thinking model that offers great, well-rounded capabilities. It's designed to offer a balance between price and performance.
Gemini 2.0 Flash
gemini-2.0-flash-001 		text, code, PDFs, images, video, audio text, code, JSON Our multimodal model with next-gen features and improved capabilities, including superior speed, built-in tool use, and a 1M token context window
Gemini 2.0 Flash‑Lite
gemini-2.0-flash-lite-001 		text, code, PDFs, images, video, audio text, code, JSON Our fastest and most cost efficient Flash model. It's an upgrade path for 1.5 Flash users who want better quality for the same price and speed.
Gemini models with only preview and experimental versions (recommended for prototyping use cases only)
Gemini 2.5 Flash‑Lite
gemini-2.5-flash-lite-preview-06-17 		text, code, PDFs, images, video, audio text, code, JSON Our most balanced Gemini model, optimized for low-latency use cases.
Gemini 2.0 Flash Image Generation
gemini-2.0-flash-preview-image-generation 		text, code, PDFs, images, video, audio images, text & images Our multimodal model that supports multimodal input and image output.
Gemini 2.0 Flash Live 1
gemini-2.0-flash-live-preview-04-09 		text (streaming),
audio (streaming)		 text (streaming),
audio (streaming)		 Our multimodal model that supports low-latency realtime streaming of multimodal inputs and outputs.

1 Not supported when using the Gemini Developer API with Firebase AI Logic SDKs.

Imagen models

Model Input Output Description
Imagen models with stable versions
Imagen 3
imagen-3.0-generate-002		 text images Generates realistic, high-quality images from natural language text prompts
Imagen 3 Fast 2
imagen-3.0-fast-generate-001 		text images Generates images for prototyping or low-latency use cases
Imagen models with only preview and experimental versions (recommended for prototyping use cases only)
Imagen 4 2
imagen-4.0-generate-preview-06-06 		text images Generates realistic, high-quality images from natural language text prompts
Imagen 4 Fast 2
imagen-4.0-fast-generate-preview-06-06 		text images Generates images for prototyping or low-latency use cases
Imagen 4 Ultra 2
imagen-4.0-ultra-generate-preview-06-06 		text images Generates realistic, high-quality images from natural language text prompts

2 This Imagen model isn't supported by the Gemini Developer API regardless of how you access the API.


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.


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:

Supported input and output

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

Gemini
2.5 Pro 		Gemini
2.5 Flash 		Gemini
2.5 Flash-
Lite 		Gemini
2.0 Flash 		Gemini
2.0 Flash-
Lite 		Gemini
2.0 Flash
Image Generation 		Gemini
2.0 Flash-
Live 		Imagen
Input types
Text
Text (streaming)
Code
Documents
(PDFs or plain-text)
Images
Video
Audio
Audio (streaming)
Output types
Text
Text (streaming)
Code
Structured output
(like JSON)
Images
Audio
Audio (streaming)

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 		Gemini
2.5 Flash 		Gemini
2.5 Flash-
Lite 		Gemini
2.0 Flash 		Gemini
2.0 Flash-
Lite 		Gemini
2.0 Flash
Image Generation 		Gemini
2.0 Flash-
Live 		Imagen
Generate text from text-only or multimodal inputs 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
Function calling (tools)
Count tokens
System instructions
Bidirectional multimodal streaming

Specifications and limitations

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

Property Gemini
2.5 Pro 		Gemini
2.5 Flash 		Gemini
2.5 Flash-
Lite 		Gemini
2.0 Flash 		Gemini
2.0 Flash-
Lite 		Gemini
2.0 Flash
Image Generation 		Gemini
2.0 Flash-
Live 		Imagen
Context window *
Total token limit
(combined input+output) 		1,048,576 tokens 1,048,576 tokens 1,048,576 tokens 1,048,576 tokens 1,048,576 tokens 32,768 tokens 32,768 tokens 480 tokens
Output token limit * 65,536 tokens 65,536 tokens 65,536 tokens 8,192 tokens 8,192 tokens 8,192 tokens 8,192 tokens ---
Knowledge cutoff date January 2025 January 2025 January 2025 June 2024 June 2024 August 2024 August 2024 ---
PDFs (per request)
Max number
of input PDF files **		 3,000 files 3,000 files 3,000 files 3,000 files 3,000 files 3,000 files --- ---
Max number
of pages
per input PDF file **		 1,000 pages 1,000 pages 1,000 pages 1,000 pages 1,000 pages 1,000 pages --- ---
Max size
per input PDF file		 50 MB 50 MB 50 MB 50 MB 50 MB 50 MB --- ---
Images (per request)
Max number
of input images		 3,000 images 3,000 images 3,000 images 3,000 images 3,000 images 3,000 images --- ---
Max number
of output images		 --- --- --- --- --- 10 images --- 4 images
Max size
per input base64-encoded image		 7 MB 7 MB 7 MB 7 MB 7 MB 7 MB --- ---
Video (per request)
Max number
of input video files		 10 files 10 files 10 files 10 files 10 files 10 files --- ---
Max length
of all input video
(frames only)		 ~60 minutes ~60 minutes ~60 minutes ~60 minutes ~60 minutes ~60 minutes --- ---
Max length
of all input video
(frames+audio)		 ~45 minutes ~45 minutes ~45 minutes ~45 minutes ~45 minutes ~45 minutes --- ---
Audio (per request)
Max number
of input audio files		 1 file 1 file 1 file 1 file 1 file 1 file --- ---
Max number
of output audio files		 --- --- --- --- --- --- --- ---
Max length
of all input audio		 ~8.4 hours ~8.4 hours ~8.4 hours ~8.4 hours ~8.4 hours ~8.4 hours --- ---
Max length
of all output audio		 --- --- --- --- --- --- --- ---

* 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


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.

Version type /
Release stage		 Description Model name pattern
Stable Stable versions are available and supported for production use starting on the release date.

A stable model version is typically released with a retirement date, which indicates the last day that the model is available. After this date, the model is no longer accessible or supported by Google.

  • Gemini 2.5 models
    Model names of stable versions have no suffix

    Example: gemini-2.5-pro

  • Gemini 2.0 and Imagen models
    Model names of stable versions are appended with a specific three-digit version number

    Example: gemini-2.0-flash-001
    Example: imagen-3.0-generate-002

Auto-updated stable alias
(Gemini 2.0 models only) 		Auto-updated stable aliases always point to the latest stable version of that model. If a new stable version is released, the auto-updated alias automatically starts pointing to that new stable version.

Gemini 2.0 models only
Model names of aliases have no suffix

Example: gemini-2.0-flash

Preview Preview versions have new capabilities and are considered not stable.

These models are not recommended for production use, come with more restrictive rate limits, and may have billing requirements.

For the Vertex AI Gemini API, preview models released after June 2025 require you to set the model's location to global.

Model names of preview versions are appended with -preview along with the model's release date (-MM-DD)

Example: gemini-2.5-flash-preview-04-17
(released on April 17, 2025)

Experimental Experimental versions have new capabilities and are considered not stable.

These models are not recommended for production use and come with more restrictive rate limits. Experimental models are intended for gathering feedback and to enable experimentation with our latest features.

For the Vertex AI Gemini API, experimental models released after June 2025 require you to set the model's location to global.

Model names of experimental versions are appended with -exp along with the model's release date (-MM-DD)

Example: gemini-2.5-pro-exp-03-25
(released on March 25, 2025)

Retired Retired versions are past their retirement date and have been permanently deactivated.

Retired models are no longer accessible or supported by Google, and requests referencing a retired model ID typically returns a 404 error.

---


Available model names

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

Programmatically list all available models

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

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 Latest stable version of Gemini 2.5 Pro Stable 2025-06-17 No earlier than
2026-06-17
gemini-2.5-pro-preview-06-05 Preview version pointing to the latest stable version of Gemini 2.5 Pro
(currently gemini-2.5-pro) 		Preview 2025-06-05 No earlier than
2025-07-15
gemini-2.5-pro-preview-05-06 Preview version pointing to the latest stable version of Gemini 2.5 Pro*
(currently gemini-2.5-pro) 		Preview 2025-05-06 No earlier than
2025-07-15
gemini-2.5-pro-preview-03-25 Preview version pointing to the latest stable version of Gemini 2.5 Pro*
(currently gemini-2.5-pro) 		Preview 2025-03-25 No earlier than
2025-07-15

* Existing preview versions of Gemini 2.5 Pro models start pointing to the stable version on June 19, 2025.

Gemini 2.5 Flash model names

Model name Description Release stage Release date Retirement date
gemini-2.5-flash Latest stable version of Gemini 2.5 Flash Stable 2025-06-17 No earlier than
2026-06-17
gemini-2.5-flash-preview-05-20 Preview version pointing to the latest stable version of Gemini 2.5 Flash
(currently gemini-2.5-flash) 		Preview 2025-05-20 No earlier than
2025-07-15
gemini-2.5-flash-preview-04-17 Preview version pointing to the latest stable version of Gemini 2.5 Flash*
(currently gemini-2.5-flash) 		Preview 2025-04-17 No earlier than
2025-07-15

* Existing preview versions of Gemini 2.5 Flash models start pointing to the stable version on June 19, 2025.

Gemini 2.5 Flash‑Lite model names

Model name Description Release stage Release date Retirement date
gemini-2.5-flash-lite-preview-06-17 Initial preview version of Gemini 2.5 Flash‑Lite Preview 2025-06-17 To be determined

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 1 Preview version for Gemini 2.0 Flash Image Generation Preview 2025-05-06 To be determined

Gemini 2.0 Flash Live model names

Only available when using the Vertex AI Gemini API as your API provider.

Model name Description Release stage Release date Retirement date
gemini-2.0-flash-live-preview-04-09 1 Preview version for Gemini 2.0 Flash Live Preview 2025-04-09 To be determined

1 Not supported when using the Gemini Developer API with Firebase AI Logic SDKs.

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-preview-06-06 2 Preview version of Imagen 4 Preview 2025-06-06 To be determined
imagen-4.0-generate-preview-05-20 2 Preview version of Imagen 4 Preview 2025-05-20 No earlier than 2025-07-07

Imagen 4 Fast model names

Model name Description Release stage Release date Retirement date
imagen-4.0-fast-generate-preview-06-06 2 Preview version of Imagen 4 Fast Preview 2025-06-06 To be determined

Imagen 4 Ultra model names

Model name Description Release stage Release date Retirement date
imagen-4.0-ultra-generate-preview-06-06 2 Preview version of Imagen 4 Ultra Preview 2025-06-06 To be determined
imagen-4.0-ultra-generate-exp-05-20 2 Experimental version of Imagen 4 Ultra Experimental 2025-05-20 No earlier than 2025-07-07

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 2 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 2 Initial stable version of Imagen 3 Fast Stable 2024-07-31 No earlier than 2025-07-31

2 Not supported by the Gemini Developer API regardless of how you access the API.


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


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


Next steps

Try out the capabilities of the Gemini API