1.5 Flash
Our most balanced multimodal model with great performance for most tasks
- Input audio, images, video, and text, get text responses
- Generate code, extract data, edit text, and more
- Best for tasks balancing performance and cost
Model variants
The Gemini API offers different models that are optimized for specific use cases. Here's a brief overview of Gemini variants that are available:
| Model variant | Input(s) | Output | Optimized for |
|---|---|---|---|
Gemini 1.5 Flash
gemini-1.5-flash |
Audio, images, videos, and text | Text | Fast and versatile performance across a diverse variety of tasks |
Gemini 1.5 Flash-8B
gemini-1.5-flash-8b |
Audio, images, videos, and text | Text | High volume and lower intelligence tasks |
Gemini 1.5 Pro
gemini-1.5-pro |
Audio, images, videos, and text | Text | Complex reasoning tasks requiring more intelligence |
Gemini 1.0 Pro (Deprecated on 2/15/2025)
gemini-1.0-pro |
Text | Text | Natural language tasks, multi-turn text and code chat, and code generation |
Text Embedding
text-embedding-004 |
Text | Text embeddings | Measuring the relatedness of text strings |
AQA
aqa |
Text | Text | Providing source-grounded answers to questions |
Gemini 1.5 Flash
Gemini 1.5 Flash is a fast and versatile multimodal model for scaling across diverse tasks.
Model details
| Property | Description |
|---|---|
| Model code | models/gemini-1.5-flash |
| Supported data types |
Inputs Audio, images, video, and text Output Text |
| Token limits[*] |
Input token limit 1,048,576 Output token limit 8,192 |
| Audio/visual specs |
Maximum number of images per prompt 3,600 Maximum video length 1 hour Maximum audio length Approximately 9.5 hours |
| Rate limits[**] |
|
| Capabilities |
System instructions Supported JSON mode Supported JSON schema Supported Adjustable safety settings Supported Caching Supported Tuning Supported Function calling Supported Code execution Supported |
| Versions |
|
| Latest update | September 2024 |
Gemini 1.5 Flash-8B
Gemini 1.5 Flash-8B is a small model designed for lower intelligence tasks.
Model details
| Property | Description |
|---|---|
| Model code | models/gemini-1.5-flash-8b |
| Supported data types |
Inputs Audio, images, video, and text Output Text |
| Token limits[*] |
Input token limit 1,048,576 Output token limit 8,192 |
| Audio/visual specs |
Maximum number of images per prompt 3,600 Maximum video length 1 hour Maximum audio length Approximately 9.5 hours |
| Rate limits[**] |
|
| Capabilities |
System instructions Supported JSON mode Supported JSON schema Supported Adjustable safety settings Supported Caching Supported Tuning Supported Function calling Supported Code execution Supported |
| Versions |
|
| Latest update | October 2024 |
Gemini 1.5 Pro
Gemini 1.5 Pro is a mid-size multimodal model that is optimized for a wide-range of reasoning tasks. 1.5 Pro can process large amounts of data at once, including 2 hours of video, 19 hours of audio, codebases with 60,000 lines of code, or 2,000 pages of text.
Model details
| Property | Description |
|---|---|
| Model code | models/gemini-1.5-pro |
| Supported data types |
Inputs Audio, images, video, and text Output Text |
| Token limits[*] |
Input token limit 2,097,152 Output token limit 8,192 |
| Audio/visual specs |
Maximum number of images per prompt 7,200 Maximum video length 2 hours Maximum audio length Approximately 19 hours |
| Rate limits[**] |
|
| Capabilities |
System instructions Supported JSON mode Supported JSON schema Supported Adjustable safety settings Supported Caching Supported Tuning Not supported Function calling Supported Code execution Supported |
| Versions |
|
| Latest update | September 2024 |
Gemini 1.0 Pro (Deprecated)
Gemini 1.0 Pro is an NLP model that handles tasks like multi-turn text and code chat, and code generation.
Model details
| Property | Description |
|---|---|
| Model code | models/gemini-1.0-pro |
| Supported data types |
Input Text Output Text |
| Rate limits[**] |
|
| Capabilities |
System instructions Not supported JSON mode Not supported JSON schema Not supported Adjustable safety settings Supported Caching Not supported Tuning Supported Function calling Supported Function calling configuration Not supported Code execution Not supported |
| Versions |
|
| Latest update | February 2024 |
Text Embedding and Embedding
Text Embedding
Text embeddings are used to measure the relatedness of strings and are widely used in many AI applications.
text-embedding-004 achieves a stronger retrieval performance and outperforms existing models
with comparable dimensions, on the standard MTEB embedding benchmarks.
Model details
| Property | Description |
|---|---|
| Model code |
Gemini API
|
| Supported data types |
Input Text Output Text embeddings |
| Token limits[*] |
Input token limit 2,048 Output dimension size 768 |
| Rate limits[**] | 1,500 requests per minute |
| Adjustable safety settings | Not supported |
| Latest update | April 2024 |
Embedding
You can use the Embedding model to generate text embeddings for input text.
The Embedding model is optimized for creating embeddings with 768 dimensions for text of up to 2,048 tokens.
Embedding model details
| Property | Description |
|---|---|
| Model code |
models/embedding-001
|
| Supported data types |
Input Text Output Text embeddings |
| Token limits[*] |
Input token limit 2,048 Output dimension size 768 |
| Rate limits[**] | 1,500 requests per minute |
| Adjustable safety settings | Not supported |
| Latest update | December 2023 |
AQA
You can use the AQA model to perform Attributed Question-Answering (AQA)–related tasks over a document, corpus, or a set of passages. The AQA model returns answers to questions that are grounded in provided sources, along with estimating answerable probability.
Model details
| Property | Description |
|---|---|
| Model code | models/aqa |
| Supported data types |
Input Text Output Text |
| Supported language | English |
| Token limits[*] |
Input token limit 7,168 Output token limit 1,024 |
| Rate limits[**] | 1,500 requests per minute |
| Adjustable safety settings | Supported |
| Latest update | December 2023 |
See the examples to explore the capabilities of these model variations.
[*] A token is equivalent to about 4 characters for Gemini models. 100 tokens are about 60-80 English words.
[**] RPM: Requests per minute
TPM: Tokens per minute
RPD: Requests per day
TPD: Tokens per day
Due to capacity limitations, specified maximum rate limits are not
guaranteed.
Model version name patterns
Gemini models are available in either preview or stable versions. In your code, you can use one of the following model name formats to specify which model and version you want to use.
Latest: Points to the cutting-edge version of the model for a specified generation and variation. The underlying model is updated regularly and might be a preview version. Only exploratory testing apps and prototypes should use this alias.
To specify the latest version, use the following pattern:
<model>-<generation>-<variation>-latest. For example,gemini-1.0-pro-latest.Latest stable: Points to the most recent stable version released for the specified model generation and variation.
To specify the latest stable version, use the following pattern:
<model>-<generation>-<variation>. For example,gemini-1.0-pro.Stable: Points to a specific stable model. Stable models don't change. Most production apps should use a specific stable model.
To specify a stable version, use the following pattern:
<model>-<generation>-<variation>-<version>. For example,gemini-1.0-pro-001.Experimental: Points to an experimental model available in Preview, as defined in the Terms, meaning it is not for production use. We release experimental models to gather feedback, get our latest updates into the hands of developers quickly, and highlight the pace of innovation happening at Google. What we learn from experimental launches informs how we release models more widely. An experimental model can be swapped for another without prior notice. We don't guarantee that an experimental model will become a stable model in the future.
To specify an experimental version, use the following pattern:
<model>-<generation>-<variation>-<version>. For example,gemini-1.5-pro-exp-0827.
Available languages
Gemini models are trained to work with 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)