The Stable channel has been updated to 151.0.7922.47/.48 for Windows and Mac as part of our early stable release to a small percentage of users. A full list of changes in this build is available in the log.

The Beta channel has been updated to 151.0.7922.47 for Windows, Mac and Linux.

A partial list of changes is available in the Git log. Interested in switching release channels? Find out how. If you find a new issue, please let us know by filing a bug. The community help forum is also a great place to reach out for help or learn about common issues.

Chrome Release Team
Google Chrome

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Hi everyone! We've just released Chrome Beta 151 (151.0.7922.47) for Android. It's now available on Google Play.

You can see a partial list of the changes in the Git log. For details on new features, check out the Chromium blog, and for details on web platform updates, check here.

If you find a new issue, please let us know by filing a bug.

Chrome Release Team
Google Chrome

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The Beta channel is being updated to OS version 16733.26.0 (Browser version 151.0.7922.42) for most ChromeOS devices.

If you find new issues, please let us know one of the following ways:

1. File a bug

2. Visit our ChromeOS communities

1. General: Chromebook Help Community

2. Beta Specific: ChromeOS Beta Help Community

3. Report an issue or send feedback on Chrome

4. Interested in switching channels? Find out how.

Andy Wu

Google ChromeOS

A new LTS  version 150.0.7871.150 (Platform Version: 16700.46.0), is being rolled out for most ChromeOS devices. 

If you have devices in the LTC channel, they will be updated to this version. The LTS channel remains on LTS-144 until October 6th, 2026. 

Release notes for LTC-150 can be found here 

Want to know more about Long-term Support? Click here

Andy Wu

Google Chrome OS

Tunix is Google’s new JAX-native post-training library designed to eliminate TPU idling bottlenecks when training multi-turn, tool-using LLM reasoning agents. It maximizes hardware throughput by combining highly concurrent, asynchronous rollouts with a decoupled producer-consumer pipeline, ensuring the trainer is constantly fed even while agents wait on network I/O or environment steps. Additionally, Tunix provides plug-and-play abstractions and continuous macro-level profiling, allowing developers to easily integrate custom open-source environments and optimize complex distributed workflows without massive code rewrites.