# LiteRT changelog

> Google's on-device inference runtime, formerly TensorFlow Lite.

- Vendor: Google
- Category: AI
- Official site: https://ai.google.dev/edge/litert
- Tracked by: What's New (https://whatsnew.fyi/product/litert)
- Harvested from: GitHub (google-ai-edge/LiteRT)
- Entries below: 10 (newest first)

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

## Releases

### v2.1.6

- Date: 2026-07-02
- Version: v2.1.6
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.6
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.6

- **changed** — Refactored CC APIs to be header only
- **changed** — CC APIs can now be used without linking Abseil
- **added** — Released ARMv7 prebuilts
- **changed** — Expanded Accelerator Test Suite (ATS) single op coverage to 43 ops across f16 and f32 data types
- **fixed** — Improved built-in kernels to support high dimensional tensors and fixed GPU kernel issues like broadcast

#### Release 2.1.6


##### Major Features and Improvements

* Refactored CC APIs to be header only
* CC APIs now can be used without linking Abseil
* Released ARMv7 prebuilts
* Expanded Accelerator Test Suite (ATS) single op coverage to 43 ops across f16 and f32 data types.

##### Bug Fixes and Other Changes

* Improved built-in kernels to support high dimensional tensors, and fixed GPU kernel issues (like broadcast)

### v2.1.5

- Date: 2026-05-18
- Version: v2.1.5
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.5
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.5

- **added** — PyPI wheels for Python 3.14
- **added** — Support LiteRT environment and option APIs directly from Python
- **added** — Raspberry Pi 5 GPU acceleration support
- **changed** — Make LiteRT C++ APIs header only
- **changed** — Made LiteRT Options class as pure data only object without requiring a LiteRT C API call to create and update
- **removed** — libLiteRt.so dependency from GPU Accelerator and Dispatch API shared libraries
- **fixed** — GPU prebuilts for iOS devices
- **fixed** — Bug on creating host memory TensorBuffer with alignment

#### Release 2.1.5


##### Major Features and Improvements

* Python 3.14 Support: Added PyPI wheels for Python 3.14
* Make LiteRT C++ APIs header only
* Support LiteRT environment and option APIs directly from Python
* Removed libLiteRt.so dependency from GPU Accelerator and Dispatch API shared libraries. They no longer require libLiteRt.so to use.
   * Applied https://github.com/google-ai-edge/LiteRT/blob/main/g3doc/apis/runtime_context.md
* Made LiteRT Options class as pure data only object. It doesn’t require a LiteRT C API call to create & update the object.
* Added Raspberry Pi 5 GPU acceleration support

##### Bug Fixes and Other Changes

* Fixed GPU prebuilts for iOS devices
https://github.com/google-ai-edge/LiteRT/issues/6745 
* Fixed a bug on creating host memory TensorBuffer with alignment
https://github.com/google-ai-edge/LiteRT/issues/5373

### v2.1.4

- Date: 2026-04-13
- Version: v2.1.4
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.4
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.4

#### Release 2.1.4

##### Major Features and Improvements

* Improved [c/cc](http://c/cc) API surfaces to avoid using deprecated methods 
* Improved CMake build system’s build stability 
* Introduced Environment to Python Compiled Model API to allow passing options

### v2.1.3

- Date: 2026-03-17
- Version: v2.1.3
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.3
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.3

#### Release 2.1.3


##### Major Features and Improvements

* Updated CMake build rules to support both CompiledModel and Interpreter APIs.
  cmake_example/CMakeLists.txt shows how you can use both libraries.

* Expanded MediaTek NPU support to all applicable Android versions
  (only Android 15 previously) by supporting bundling MediaTek libraries in
  application binary.

* Added experimental support for multi-threaded CompiledModel creation

* Fixed GPU support for Python on Windows

* Individual Options APIs (litert/cc/options) no longer use LiteRT C APIs (LiteRtXXX). They’re updated to use string based serialization and use LrtXXX() functions which can be linked individually.

* Added basic support for Broadcom VideoCore GPUs.


##### Bug Fixes and Other Changes

* Move the experimental API `GetProfiler()` out of `litert::CompiledModel`.

* Fixed a bug that given CPU Buffers are not always synced with GPU Accelerator
  from the second inference.

* Removed methods from `litert::Event` which uses C type `LiteRtEnvironment`.
  All C++ API should uses C++ `litert::Environment` instead.
  Also removed method `CreateFromSyncFenceFd()` that doesn't accept
  `litert::Environment`.

* Updated `litert::Event::Type()` to return C++ types instead of C types.

* The LiteRT headers no longer define the following OpenCL type names in the
  global namespace when OpenCL is _not_ supported: `cl_mem`, `cl_event`.
  These have been replaced with the type aliases `LiteRtClMem` and
  `LiteRtClEvent`, defined in a new header `litert/c/litert_opencl_types.h`.
  All of these symbols that didn't include the `LiteRt` prefix in their name
  were never intended to be part of the LiteRT API, and their presence
  in the global namespace risked conflicts with header files from other
  packages.

* Likewise, and for the same reason, the LiteRT headers no longer define the
  following WebGPU type names in the global namespace when WebGPU _is_
  supported: `struct WGPUBufferImpl`, `WGPUBuffer`. These have been
  replaced with the type alias `LiteRtWGPUBuffer` which is defined in a
  new header file `litert/c/litert_webgpu_types.h`. Alternatively, apps
  using these symbols can get them from WebGPU's `webgpu.h` header file.

* Added experimental support for multi-threaded CompiledModel creation

### v2.1.2

- Date: 2026-01-28
- Version: v2.1.2
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.2
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.2

#### Release 2.1.2

##### Major Features and Improvements

* Added Desktop GPU support in the ai-edge-litert Python package for Linux (through WebGPU) and Mac (through Metal).
* Released Windows ai-edge-litert Python package that supports CPU inference (WebGPU on Windows in Python is coming soon)

### v2.1.1

- Date: 2026-01-27
- Version: v2.1.1
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.1
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.1

#### Release 2.1.1

##### Bug Fixes and Other Changes

* Fixed the MacOS wheel build issue
* Fixed the Qualcomm options passing issue in Kotlin API

### v2.1.0

- Date: 2025-12-19
- Version: v2.1.0
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.0
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.0

#### Release 2.1.0

**Release 2.1.0 is the LiteRT** beta release.

LiteRT APIs are stable and have achieved feature parity. This milestone marks a significant step forward, introducing full feature parity with TensorFlow Lite, stable LiteRT APIs, and critical performance enhancements for GPU and NPU acceleration. With this release, we are officially recommending that developers begin their transition to LiteRT.

##### Major Features and Improvements

###### LiteRT Runtime

* Custom op is supported through [custom op dispatcher](https://github.com/google-ai-edge/LiteRT/blob/main/g3doc/apis/Custom_Op_Dispatcher.md).
* CMake Build is supported in addition to Bazel
* Released LiteRT C++ SDK using prebuilt libLiteRt.so file
* Added Profiler API in CompiledModel
* Added ErrorReporter API in CompiledModel
* Added ResizeInputTensor API in CompiledModel

###### LiteRT NPU

* Introduced LiteRT Accelerator Test Suite for coverage and regression testing
* Introduced LiteRT graph transformation APIs for compiler plugins
* Qualcomm
  * Added support for Qualcomm Snapdragon Gen5
  * Added support for NPU JIT mode
  * LiteRT Op coverage improvements
* MediaTek
  * Added support for NPU JIT mode
  * LiteRT Op coverage improvements

###### LiteRT GPU

* Increased GPU coverage with WebGPU/Dawn and OpenCL including Android, Linux, MacOS, Windows, iOS, IoT devices
* Added asynchronous execution to Metal, WebGPU backends
* Improved performance and memory footprint
* Added an option to control GPU inference priority
* Better error handling (without crashing) on Delegation errors

###### LLM Support

* Provided Desktop GPU backends prebuilt for Linux (x64, arm64), MacOS (arm64), Windows (x64)
* Improved memory utilization when executing on GPUs
* Published new LLMs on [https://huggingface.co/litert-community](https://huggingface.co/litert-community)
  * litert-community/FastVLM-0.5B
  * litert-community/Qwen3-0.6B
  * litert-community/embeddinggemma-300m with new NPU precompiled models
  * litert-community/gemma-3-270m-it with new NPU precompiled model
* Published Function Gemma on [https://huggingface.co/google](https://huggingface.co/google)
  * google/functiongemma-270m-it

###### LiteRT on Android

* Added Interpreter API (CPU only) in the Maven v2.1.0+ packages
* Added [Instruction](https://ai.google.dev/edge/litert/next/android_cpp_sdk) to use pre-built CompiledModell C++ API from the Maven package.

##### Bug Fixes and Other Changes

Fixes Android min SDK version and it’s 23 now.

LiteRT NPU: Fixes partition algorithm when the full model cannot be offloaded to NPU.

##### Breaking Changes

* Removed direct C headers usage. Users no longer need to include C headers.
* TensorBuffer::CreateManaged() requires Environment always.
* All TensorBuffer creation requires Environment except HostMemory types.
* LiteRT C++ constructors are hidden. All LiteRT C++ objects should be created by Create() methods.
* Moved internal only C++ APIs(such as litert\_logging.h) to litert/cc/internal
* Removed Tensor, Subgraph, Signature access from litert::Model. Instead users can access SimpleTensor, SimpleSignature.
* The CompiledModel::Create() API no longer needs litert::Model. They can be created from filename, model buffers directly.
* Users can access SimpleTensor and SimpleSignature from CompiledModel.
* Annotation, Metrics APIs are removed from CompiledModel.
* Removed individual OpaqueOptions creation. These OpaqueOptions objects are obtained by Options directly.
  *  Options::GetCpuOptions()
  *  Options::GetGpuOptions()
  *  Options::GetRuntimeOptions()
  * …

### v2.1.0rc1

- Date: 2025-11-21
- Version: v2.1.0rc1
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.1.0rc1
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.1.0rc1
- Labels: Pre-release

#### Release 2.1.0rc1

##### Major Features and Improvements


* NPU: Added support for Qualcomm Snapdragon Gen5
* NPU: Added support for MediaTek Dimensity 9500
* NPU: Added support for NPU JIT mode on Qualcomm and MediaTek

##### Bug Fixes and Other Changes

* Fixes Android min SDK version to 23.
* NPU: Fixes partition algorithm when the full model cannot be offloaded to NPU.

##### Breaking Changes

* Removed direct C headers usage. Users no longer need to include C headers.
* `TensorBuffer::CreateManaged()` requires Environment always.
* All `TensorBuffer` creation requires Environment except HostMemory types.
* LiteRT C++ constructors are hidden. All LiteRT C++ objects should be created by Create() methods.
* Move internal only C++ APIs(such as litert_logging.h) to litert/cc/internal
* Remove `Tensor`, `Subgraph`, `Signature` access from `litert::Model`. Instead users can access `SimpleTensor`, `SimpleSignature` from `CompiledModel`.
* The `CompiledModel::Create()` API no longer needs `litert::Model`. They can be created from filename, model buffers directly.
* Annotation, Metrics APIs are removed from `CompiledModel`.
* Removed individual `OpaqueOptions` creation. These `OpaqueOptions` objects are obtained by `Options` directly.
   * `Options::GetCpuOptions()`
   * `Options::GetGpuOptions()`
   * `Options::GetRuntimeOptions()`
   * …

### v1.4.1

- Date: 2025-11-19
- Version: v1.4.1
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v1.4.1
- Permalink: https://whatsnew.fyi/product/litert/releases/v1.4.1

#### Release 1.4.1

###### Bug Fixes and Other Changes

* Fixed Android minSDK version to 21

### v2.0.3

- Date: 2025-11-13
- Version: v2.0.3
- Original notes: https://github.com/google-ai-edge/LiteRT/releases/tag/v2.0.3
- Permalink: https://whatsnew.fyi/product/litert/releases/v2.0.3

#### Release 2.0.3

##### Major Features and Improvements

*  Add Python backend for Google Tensor. The backend doesn't yet register itself, so it's available by default.
* Change manufacturer to Google and SoC models to include the Tensor_ prefix for Google Tensor.
* Minor naming changes to some flags for the Google Tensor compiler plugin.

##### Bug Fixes and Other Changes
* N/A