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ML Kit's GenAI APIs harness the power ofGemini Nanoto help your apps
perform tasks. These APIs provide out-of-the-box quality for popular use cases
through a high-level interface. The ML Kit GenAI APIs are built on top ofAICore, an Android system service that enables on-device execution of GenAI
foundation models to facilitate features such as enhanced app functionality and
improved user privacy by processing data locally.
The ML Kit GenAI APIs support the following features:
Summarization: Summarize articles or chat conversations as a bulleted
list.
Proofreading: Polish short content by refining grammar and fixing
spelling errors.
Rewriting: Rewrite short messages in different tones or styles.
Similar to other existing ML Kit features, GenAI APIs run entirely on-device and
thus provide the following benefits:
Input, inference, and output data is processed locally
Functionality remains the same without reliable internet connection
No additional server cost incurred for each API call
In addition, since GenAI APIs are built on top of AICore and powered by Gemini
Nano, every app is able to use the shared Gemini Nano model that is on the
device. This avoids the need to have to wait for a model to be downloaded if it
already exists on a device, and in turn conserves storage space. Learnmore
about how AICore isolates requests to protect privacy.
Streaming versus non-streaming
ML Kit GenAI APIs offer both streaming and non-streaming options for receiving
results. The streaming API delivers responses incrementally as they are
generated, providing a continuous flow of data. In contrast, the non-streaming
API waits until the entire response is complete before returning it as a single
block.
Choose the streaming API for lengthy responses, as it allows for quicker initial
feedback. The non-streaming API is more suitable for short responses or when
processing results in batches.
Device support
The ML Kit GenAI APIs are available on the following devices, with
plans to expand support to additional devices:
Google: Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, Pixel 10 Pro Fold, Pixel 9, Pixel 9 Pro, Pixel 9 Pro XL, Pixel 9 Pro Fold
vivo: vivo X200, vivo X200 Pro, vivo X Fold3 Pro, vivo X Fold5
Xiaomi: Xiaomi 15 Ultra, Xiaomi 15
Availability of specific language support may vary depending on the particular
device's configuration and the models that have been downloaded to the device.
Quota per application
AICore enforces an inference quota per app. This means that making too many
GenAI API requests in a short period will result in anErrorCode.BUSYresponse. When receiving such an error, consider using exponential backoff to
retry the request.
Background usage
GenAI API inference is permitted only when the app is the top foreground
application. Using the API when the app is not in the foreground, including
using a foreground service, will result in anErrorCode.BUSYresponse due to
the current lack of background usage quota.
Sample code
To get this code, check out the following samples:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["| This API is offered in beta, and is not subject to any SLA or deprecation policy. Changes may be made to this API that break backward compatibility.\n\nML Kit's GenAI APIs harness the power of [Gemini Nano](https://developer.android.com/ai/gemini-nano/) to help your apps\nperform tasks. These APIs provide out-of-the-box quality for popular use cases\nthrough a high-level interface. The ML Kit GenAI APIs are built on top of\n[AICore](https://android-developers.googleblog.com/2023/12/a-new-foundation-for-ai-on-android.html), an Android system service that enables on-device execution of GenAI\nfoundation models to facilitate features such as enhanced app functionality and\nimproved user privacy by processing data locally.\n\nThe ML Kit GenAI APIs support the following features:\n\n- [**Summarization**](/ml-kit/genai/summarization/android): Summarize articles or chat conversations as a bulleted list.\n- [**Proofreading**](/ml-kit/genai/proofreading/android): Polish short content by refining grammar and fixing spelling errors.\n- [**Rewriting**](/ml-kit/genai/rewriting/android): Rewrite short messages in different tones or styles.\n- [**Image description**](/ml-kit/genai/image-description/android): Generate a short description of a given image.\n\nBenefits of GenAI APIs\n\nSimilar to other existing ML Kit features, GenAI APIs run entirely on-device and\nthus provide the following benefits:\n\n- Input, inference, and output data is processed locally\n- Functionality remains the same without reliable internet connection\n- No additional server cost incurred for each API call\n\nIn addition, since GenAI APIs are built on top of AICore and powered by Gemini\nNano, every app is able to use the shared Gemini Nano model that is on the\ndevice. This avoids the need to have to wait for a model to be downloaded if it\nalready exists on a device, and in turn conserves storage space. Learn [more\nabout how AICore isolates requests to protect privacy](https://android-developers.googleblog.com/2024/10/introduction-to-privacy-and-safety-gemini-nano.html).\n\nStreaming versus non-streaming\n\nML Kit GenAI APIs offer both streaming and non-streaming options for receiving\nresults. The streaming API delivers responses incrementally as they are\ngenerated, providing a continuous flow of data. In contrast, the non-streaming\nAPI waits until the entire response is complete before returning it as a single\nblock.\n\nChoose the streaming API for lengthy responses, as it allows for quicker initial\nfeedback. The non-streaming API is more suitable for short responses or when\nprocessing results in batches.\n\nDevice support\n\nThe ML Kit GenAI APIs are available on the following devices, with\nplans to expand support to additional devices:\n\n- Google: Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL, Pixel 10 Pro Fold, Pixel 9, Pixel 9 Pro, Pixel 9 Pro XL, Pixel 9 Pro Fold\n- Honor: Honor 400 Pro, Magic 6 Pro, Magic 6 RSR, Magic 7, Magic 7 Pro, Magic V3\n- iQOO: iQOO 13\n- Motorola: Razr 60 Ultra\n- OnePlus: OnePlus 13, OnePlus 13s\n- OPPO: Find N5, Find X8, Find X8 Pro\n- POCO: POCO F7 Ultra\n- realme: realme GT 7 Pro\n- Samsung: Galaxy S25, Galaxy S25+, Galaxy S25 Ultra\n- vivo: vivo X200, vivo X200 Pro, vivo X Fold3 Pro, vivo X Fold5\n- Xiaomi: Xiaomi 15 Ultra, Xiaomi 15\n\nAvailability of specific language support may vary depending on the particular\ndevice's configuration and the models that have been downloaded to the device.\n\nQuota per application\n\nAICore enforces an inference quota per app. This means that making too many\nGenAI API requests in a short period will result in an `ErrorCode.BUSY`\nresponse. When receiving such an error, consider using exponential backoff to\nretry the request.\n\nBackground usage\n\nGenAI API inference is permitted only when the app is the top foreground\napplication. Using the API when the app is not in the foreground, including\nusing a foreground service, will result in an `ErrorCode.BUSY` response due to\nthe current lack of background usage quota.\n\nSample code\n\nTo get this code, check out the following samples:\n\n- [ML Kit GenAI Samples](https://github.com/googlesamples/mlkit/tree/master/android/genai)\n- [Android AI Catalog Sample](https://github.com/android/ai-samples/tree/main/ai-catalog)"]]
