For mobile and web apps, the Vertex AI in Firebase SDKs let you interact with the supported Gemini models and Imagen 3 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 3 models can be prompted with text to generate images.
The following table is a brief overview of supported models for Vertex AI in Firebase and their latest stable model names. This table also lists preview and experimental models that are available for prototyping use cases.
| Model | Input | Output | Description |
|---|---|---|---|
| Gemini models with stable versions | |||
Gemini 2.0 Flashgemini-2.0-flash-001
|
text, code, PDFs, images, video, audio | text, code, JSON (images & audio coming soon!) |
Our multimodal model with next-gen features and improved capabilities, including superior speed, built-in tool use, and a 1M token context window (multimodal generation coming soon!) |
Gemini 2.0 Flash‑Litegemini-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 Progemini-2.5-pro-preview-05-06
|
text, code, PDFs, images, video, audio | text, code, JSON | Our most advanced reasoning model, capable of solving complex problems. |
Gemini 2.5 Flashgemini-2.5-flash-preview-04-17
|
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‑Livegemini-2.0-flash-live-preview-04-09
|
text (), audio () |
text (), audio () |
Our multimodal model that supports low-latency realtime of multimodal inputs and outputs. |
| Imagen 3 models (when using with Vertex AI in Firebase) | |||
Imagen 3imagen-3.0-generate-002 |
text | images | Generates realistic, high-quality images from natural language text prompts |
Imagen 3 Fastimagen-3.0-fast-generate-001
|
text | images | Generates images for prototyping or low-latency use cases |
The remainder of this page provides detailed information about the models supported by Vertex AI in Firebase:
-
- 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, and preview 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 Vertex AI in Firebase. 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 about the Gemini models and Imagen 3 models in the Google Cloud documentation.
Supported input and output
These are the supported input and output types when using each model with Vertex AI in Firebase:
|
2.5 Pro |
2.5 Flash |
2.0 Flash |
2.0 Flash- Lite |
2.0 Flash- Live |
Imagen 3 / Imagen 3 Fast |
|||
|---|---|---|---|---|---|---|---|---|
| Input types | ||||||||
| Text | ||||||||
| Text () | ||||||||
| Code | ||||||||
| Documents (PDFs or plain-text) |
||||||||
| Images | ||||||||
| Video | ||||||||
| Audio | ||||||||
| Audio () | ||||||||
| Output types | ||||||||
| Text | ||||||||
| Text () | ||||||||
| Code | ||||||||
| Structured output (like JSON) |
||||||||
| Images | coming soon! | |||||||
| Audio | coming soon! | |||||||
| Audio () | ||||||||
To learn about supported file types, see Supported input files and requirements for the Vertex AI Gemini API.
Supported capabilities and features
These are the supported capabilities and features when using each model with Vertex AI in Firebase:
|
2.5 Pro |
2.5 Flash |
2.0 Flash |
2.0 Flash- Lite |
2.0 Flash- Live |
Imagen 3 / Imagen 3 Fast |
|
|---|---|---|---|---|---|---|
| Generate text from text-only or multimodal inputs | only | |||||
|
Generate images (Imagen 3) |
coming soon! | |||||
| Generate audio | coming soon! | only | ||||
|
Generate
structured output
(like JSON) |
||||||
|
Analyze documents
(PDFs or plain-text) |
||||||
| Analyze images (vision) | ||||||
| Analyze video (vision) | ||||||
| Analyze audio | only | |||||
| Multi-turn chat | ||||||
| Function calling (tools) | ||||||
| Count tokens | ||||||
| System instructions | ||||||
| Bidirectional multimodal |
Specifications and limitations
These are the specifications and limitations when using each model with Vertex AI in Firebase:
| Property |
2.5 Pro |
2.5 Flash |
2.0 Flash |
2.0 Flash- Lite |
2.0 Flash- Live |
Imagen 3 / Imagen 3 Fast |
|
|---|---|---|---|---|---|---|---|
| Context window * Total token limit (combined input+output) |
1,048,576 tokens | 1,048,576 tokens | 1,048,576 tokens | 1,048,576 tokens | 32,768 tokens | 480 tokens | |
| Output token limit * | 65,536 tokens | 65,536 tokens | 8,192 tokens | 8,192 tokens | --- | --- | |
| Knowledge cutoff date | January 2025 | January 2025 | June 2024 | June 2024 | August 2024 | --- | |
| PDFs (per request) | |||||||
| Max number of input PDF 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 | --- | --- | |
| Max size per input PDF file |
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 | --- | --- | |
| Max number of output images |
--- | --- | coming soon! | --- | --- | 4 images | |
| Max size per input base64-encoded image |
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 | --- | --- | |
| Max length of all input video (frames only) |
~60 minutes | ~60 minutes | ~60 minutes | ~60 minutes | --- | --- | |
| Max length of all input video (frames+audio) |
~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 | --- | --- | |
| Max number of output audio files |
--- | --- | coming soon! | --- | --- | --- | |
| Max length of all input audio |
~8.4 hours | ~8.4 hours | ~8.4 hours | ~8.4 hours | --- | --- | |
| Max length of all output audio |
--- | --- | coming soon! | --- | --- | --- | |
*
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.
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. |
Model names of stable versions are appended with a specific three-digit version number
Example: |
|
| Auto-updated stable alias | 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. |
Model names of aliases have no appendage
Example: |
|
| Preview |
Preview versions have new capabilities and
are considered not stable.
Preview versions always point to the latest preview version of that model. If a new preview version is released, any existing preview version automatically starts pointing to that new preview version. These models not recommended for production use, come with more restrictive rate limits, and may have billing requirements. |
Model names of preview versions are appended with
Example: |
|
| 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. |
Model names of experimental versions are appended with
Example: |
|
| Retired |
Retired versions are past their retirement
date and have been permanently deactivated.
Retired models are no longer accessible or supported by Google. Requests referencing a retired model ID typically returns a 404 error. |
--- |
|
Learn more about the available model versions and their lifecycle (Gemini) or Imagen in the Google Cloud documentation.
Available model names
Model names are the explicit values that you include in your code during initialization of the model.
You can use the
publishers.models.list endpoint
to list all available model names. Note that this returned list will include
all models that Vertex AI supports, but Vertex AI in Firebase 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.
Gemini 2.5 Pro model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
| No stable versions available | --- | --- | --- | --- |
| Auto-updated stable alias | ||||
| No auto-updated stable alias available | --- | --- | --- | --- |
| Preview versions | ||||
gemini-2.5-pro-preview-05-06 |
Preview version of Gemini 2.5 Pro | Preview | 2025-05-06 | To be determined |
gemini-2.5-pro-preview-03-25 |
Points to gemini-2.5-pro-preview-05-06(which is the latest preview version) |
Preview | 2025-03-25 | To be determined |
| Experimental versions | ||||
gemini-2.5-pro-exp-03-25 |
Experimental version of Gemini 2.5 Pro | Experimental | 2025-03-28 | To be determined |
Gemini 2.5 Flash model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
| No stable versions available | --- | --- | --- | --- |
| Auto-updated stable alias | ||||
| No auto-updated stable alias available | --- | --- | --- | --- |
| Preview versions | ||||
gemini-2.5-flash-preview-04-17 |
Preview version of Gemini 2.5 Flash | Preview | 2025-04-17 | To be determined |
| Experimental versions | ||||
| No experimental versions available | --- | --- | --- | --- |
Gemini 2.0 Flash model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
gemini-2.0-flash-001 |
Latest stable version of Gemini 2.0 Flash | Stable | 2025-02-05 | No earlier than 2026-02-05 |
| Auto-updated stable alias | ||||
gemini-2.0-flash |
Points to the latest stable version of 2.0 Flash (currently gemini-2.0-flash-001 |
Stable | 2025-02-10 | --- |
| Preview versions | ||||
| No preview versions available | --- | --- | --- | --- |
| Experimental versions | ||||
| No experimental versions available | --- | --- | --- | --- |
Gemini 2.0 Flash‑Lite model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
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 |
| Auto-updated stable alias | ||||
gemini-2.0-flash-lite |
Points to the latest stable version of 2.0 Flash-Lite (currently gemini-2.0-flash-lite-001 |
Stable | 2025-02-25 | --- |
| Preview versions | ||||
| No preview versions available | --- | --- | --- | --- |
| Experimental versions | ||||
| No experimental versions available | --- | --- | --- | --- |
Gemini 2.0 Flash‑Live model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
| No stable versions available | --- | --- | --- | --- |
| Auto-updated stable alias | ||||
| No auto-updated stable alias available | --- | --- | --- | --- |
| Preview versions | ||||
gemini-2.0-flash-live-preview-04-09 |
Preview version for Gemini 2.0 Flash‑Live | Preview | 2025-04-09 | To be determined |
| Experimental versions | ||||
| No experimental versions available | --- | --- | --- | --- |
Imagen model names
For initialization examples for your platform, see the generate images with Imagen guide.
Right now, none of the Imagen 3 models have preview or experimental versions available.
Imagen 3 model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
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 |
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 | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
imagen-3.0-fast-generate-001 |
Initial stable version of Imagen 3 Fast | Stable | 2024-07-31 | No earlier than 2025-07-31 |
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
Vertex AI in Firebase supports all Gemini models, including older models like Gemini 1.5 models and Gemini 1.0 models.
Vertex AI in Firebase only supports Imagen 3 models. It does not support the older Imagen models (like Imagen 2).
Available model names of older models (including Retirement dates)
Model names are the explicit values that you include in your code during initialization of the model.
Gemini 1.5 Pro model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
gemini-1.5-pro-002 |
Latest stable version of Gemini 1.5 Pro | Upcoming Retirement | 2024-09-24 | 2025-09-24 |
gemini-1.5-pro-001 |
Initial stable version of Gemini 1.5 Pro | Upcoming Retirement | 2024-05-24 | 2025-05-24 |
| Auto-updated stable alias | ||||
gemini-1.5-pro |
Points to the latest stable version of 1.5 Pro (currently gemini-1.5-pro-002 |
Upcoming Retirement | 2024-09-24 | 2025-09-24 |
Gemini 1.5 Flash model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
gemini-1.5-flash-002 |
Latest stable version of Gemini 1.5 Flash | Upcoming Retirement | 2024-09-24 | 2025-09-24 |
gemini-1.5-flash-001 |
Initial stable version of Gemini 1.5 Flash | Upcoming Retirement | 2024-05-24 | 2025-05-24 |
| Auto-updated stable alias | ||||
gemini-1.5-flash |
Points to the latest stable version of 1.5 Flash (currently gemini-1.5-flash-002 |
Upcoming Retirement | 2024-09-24 | 2025-09-24 |
Gemini 1.0 Pro Vision model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
gemini-1.0-pro-vision-001 |
Latest stable version of Gemini 1.0 Pro Vision | Retired | 2024-02-15 | 2025-04-21 |
| Auto-updated stable alias | ||||
gemini-1.0-pro-vision |
Points to the latest stable version of 1.5 Pro Vision (currently gemini-1.5-pro-vision-001 |
Retired | 2024-01-04 | 2025-04-21 |
Gemini 1.0 Pro model names
| Model name | Description | Release stage | Initial release date | Retirement date |
|---|---|---|---|---|
| Stable versions | ||||
gemini-1.0-pro-002 |
Latest stable version of Gemini 1.0 Pro | Retired | 2024-04-09 | 2025-04-21 |
gemini-1.0-pro-001 |
Stable version of Gemini 1.0 Pro | Retired | 2024-02-15 | 2025-04-21 |
| Auto-updated stable alias | ||||
gemini-1.0-pro |
Points to the latest stable version of 1.0 Pro (currently gemini-1.0-pro-002 |
Retired | 2024-02-15 | 2025-04-21 |
Next steps
Try out the capabilities of the Gemini API
- Build multi-turn conversations (chat).
- Generate text from text-only prompts.
- Generate text by prompting with various file types, like images, PDFs, video, and audio.
- Generate structured output (like JSON) from both text and multimodal prompts.
- Generate images from text prompts.
- Stream input and output (including audio) using the Gemini Live API.
- Use function calling to connect generative models to external systems and information.