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Preparing your app for broader memory limits

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Mobile GamesTutorial

Preparing your app for broader memory limits

Posted by Blair Harmon, Director of Product Management, Android Platform A great user experience is central to Android's mission, and delivering on that promise requires keeping devices fast, responsive, and reliable. This is why memory optimization is more critical than ever. Across the ecosystem, new devices are maintaining or even decreasing their physical memory capacity in response to memory price increases, yet users continue to expect the same seamless, high-performance app experience. In Android 17, we introduced per-app memory limits , starting with Pixel devices, to help protect the overall user experience from applications using excess memory and causing system-wide slowdowns. Over the coming year, an increasing number of manufacturers will leverage the Android per-app memory limits across their portfolio of device RAM configurations from 4GB to 16GB+ devices. If your app exceeds these limits, it will be slowed down and may be terminated. Optimizing your app's memory footprint is essential to preventing OS throttling and maintaining a seamless user experience. In this post, we’ll explore how these limits work under the hood, how to measure your memory footprint using new Android vitals metrics, and actionable steps to optimize your app or game. Understanding Memory Limits When your app exceeds its memory budget, Android takes progressive action to protect device responsiveness: zRAM Swapping: If your app reaches its allocated limit, the system forces your app's pages into zRAM (compressed RAM). While zRAM prevents immediate eviction, compressing and decompressing pages adds CPU overhead, which can result in noticeable UI jank and experience slowdowns. Process Termination: If your app continues to increase its memory usage beyond the zRAM threshold, it will be terminated by the system. To determine if your app session was impacted by these constraints in the field, you can call getDescription() within ApplicationExitInfo . If the system applied a limit, the exit reason is reported as REASON_OTHER and the description string will contain "MemoryLimiter:AnonSwap". You can also leverage trigger-based profiling using TRIGGER_TYPE_ANOMALY to automatically capture heap dumps when the memory limit is reached. To learn more about per-app memory limits and system enforcement, review the Android 17 App Memory Limits documentation . To test your application on different device configurations use the Memory Limiter adb commands . Monitoring and Diagnosing Memory Issues You can't optimize what you can't measure. Identifying memory leaks, excessive heap allocations, and Out-Of-Memory (OOM) crashes across the Android ecosystem requires leveraging complementary monitoring tools: Macro-level health with Android vitals: For broad, population-level visibility without additional overhead,

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Google
Play Console’s Android vitals provides essential metrics like Memory Usage (Anonymous RSS + swap)  and Bitmap Memory Usage . This gives you a clear snapshot of memory distribution across different process states (foreground, background, user-perceived services, and cached) and RAM class ranges, helping you spot memory outliers. Memory Limiter exits & OOM tracking with Firebase Crashlytics: To stay informed about severe memory degradation before it impacts your key metrics, Crashlytics version 20.1.0 introduces additional debug data to help you catch, prioritize, and fix Out-Of-Memory exceptions and memory limiter kills. Tracking these events alongside custom logs and key-value metadata gives you immediate context into process status when a memory failure occurs. In-field traces with ProfilingManager: For teams able to maintain a performance observability framework, the ProfilingManager API introduced in Android 15 (API level 35) allows your app to programmatically request and collect detailed memory debug artifacts such as Java heap dumps and heap profiles directly from production devices. You can also trigger heap dump captures based on specific system signals, such as TRIGGER_TYPE_OOM and TRIGGER_TYPE_ANOMALY . Read our documentation to learn more about other memory monitoring techniques. Summary & What's Next With Android broadening per-app memory limits across all RAM classes, now is the time to audit your memory footprint: Prioritize memory optimizations: Prevent your app from being impacted by app memory limits by using best practices . Monitor memory use: Monitor your app’s memory behavior to detect and resolve anomalous behavior. Optimize your game: Follow the latest guidance for games and complex multimedia apps to maximize memory savings across process states. Helpful Resources & References Android 17 Behavior Changes: App Memory Limits Android Vitals: Memory Usage (RSS + swap metric) and Bitmap Memory Usage Android
Developers
Blog: Prioritizing memory efficiency steps for Android 17 Developer Guide: Manage your app’s memory
Android Developers Blog·August 19, 2026·4 min read
Google’s rolling out an AI-themed visual tweak for paid accounts

Matched "Google Developers"•Found in Content

AINews

Google’s rolling out an AI-themed visual tweak for paid accounts

Google's new colors are blue and purple.

Android Authority·August 19, 2026·1 min read
Google could soon make it easier to ask Gemini to take a look at things

Matched "Google Developers"•Found in Content

MobileNews

Google could soon make it easier to ask Gemini to take a look at things

Guided Vision could be getting its own accessibility shortcut.

Android Authority·August 19, 2026·1 min read
First look: Gemini could soon remember details from your screenshots with one tap

Matched "Google Developers"•Found in Content

MobileNews

First look: Gemini could soon remember details from your screenshots with one tap

A new share sheet shortcut could let Gemini automatically memorize details from photos.

Android Authority·August 19, 2026·1 min read
First look: Here’s how Google Photos’ new Redact tool will work

Matched "Google Developers"•Found in Content

MobileRelease

First look: Here’s how Google Photos’ new Redact tool will work

We enabled the feature ahead of its release to try the new Mosaic, Mosaic Light, and Blur redact modes firsthand.

Android Authority·August 19, 2026·1 min read
Google Photos could soon add a map view in Ask Photos

Matched "Google Developers"•Found in Content

MobileNews

Google Photos could soon add a map view in Ask Photos

It could make location-based searches easier and more fun.

Android Authority·August 19, 2026·1 min read
This leaked Motorola accessory could change how you charge your phone

Matched "Google Developers"•Found in Content

MobileNews

This leaked Motorola accessory could change how you charge your phone

The leaked charger sports a slim design, braided cable, and USB-C connector.

Android Authority·August 19, 2026·1 min read
GLM-5.3 hits the API at $1.4/$4.4 per million tokens

Matched "Google Developers"•Found in Description

AISecurity Advisory

GLM-5.3 hits the API at $1.4/$4.4 per million tokens

After a stunning debut last week with cyber capabilities so advanced they reportedly found a previously undetected vulnerability in Cursor, GLM-5.3, the new frontier open source language model from Chinese startup z.ai, has now hit the application programming interface (API) — allowing developers the ability to build atop it and plug it into their agents and applications. Developers who previously subscribed to a GLM Coding Plan are currently limited to the OpenAI Chat Completions-compatible protocol. Z.ai said it plans to make the model's weights openly available, but a precise date and licensing remain to be seen. On the API, the price is unchanged from GLM-5.2: $1.40 per million input tokens and $4.40 per million output tokens . Cached input costs $0.26 per million tokens, while Z.ai currently lists cached-input storage as free for a limited time. That means developers can move to the new generation without taking a higher posted per-token rate from Z.ai, even as the company claims substantially stronger coding and long-horizon agent performance. At those rates, GLM-5.3 sits well below several of the highest-end frontier APIs. Model Input ($/1M) Output ($/1M) Total ($/1M) Source Muse Spark 1.2 Contributor $0.10 $0.20 $0.30 Meta MiMo-V2.5 Flash $0.10 $0.30 $0.40 Xiaomi DeepSeek-V4-Flash — off-peak $0.22 $0.66 $0.88 DeepSeek GPT-5.6 Luna $0.20 $1.20 $1.40 OpenAI MiniMax-M3 $0.30 $1.20 $1.50 MiniMax LongCat-2.0 — limited-time promo $0.30 $1.20 $1.50 LongCat DeepSeek-V4-Flash — peak hours $0.44 $1.32 $1.76 DeepSeek MiMo-V2.5 $0.40 $2.00 $2.40 Xiaomi DeepSeek-V4-Pro — off-peak $0.66 $1.98 $2.64 DeepSeek LongCat-2.0 — standard $0.75 $2.95 $3.70 LongCat MiMo-V2.5 Pro (≤256K) $1.00 $3.00 $4.00 Xiaomi Gemini 3.6 Flash — through Dec. 31, 2026 $0.75 $3.75 $4.50 Google Gemini 3.7 Flash — through Dec. 31, 2026 $0.75 $3.75 $4.50 Google DeepSeek-V4-Pro — peak hours $1.32 $3.96 $5.28 DeepSeek Muse Spark 1.1 / 1.2 $1.25 $4.25 $5.50 Meta GLM-5.3 $1.40 $4.40 $5.80 Z.AI Grok 4.6 — $2.00 $6.00 $8.00 xAI MiMo-V2.5 Pro (>256K) $2.00 $6.00 $8.00 Xiaomi Qwen3.8-Max $2.00 $6.00 $8.00 QwenCloud Gemini 3.6 Flash — starting Jan. 1, 2027 $1.50 $7.50 $9.00 Google Gemini 3.7 Flash — starting Jan. 1, 2027 $1.50 $7.50 $9.00 Google GPT-5.6 Terra $2.00 $12.00 $14.00 OpenAI Grok 4.6 — ≥200K prompt tokens $4.00 $12.00 $16.00 xAI GPT-5.4 $2.50 $15.00 $17.50 OpenAI Kimi K3 $3.00 $15.00 $18.00 Moonshot AI Claude Opus 5 $5.00 $25.00 $30.00 Anthropic Sakana Fugu Ultra (≤272K) $5.00 $30.00 $35.00 Sakana AI GPT-5.6 Sol — Standard mode $5.00 $30.00 $35.00 OpenAI Claude Fable 5 / Claude Mythos 5 $10.00 $50.00 $60.00 Anthropic GPT-5.6 Sol — Fast mode $10.00 $60.00 $70.00 OpenAI Using the simple VentureBeat comparison of one million input tokens plus one million output tokens, GLM-5.3 comes to $5.80, versus $8 for Grok 4.6 at its lower context rate, $18 for Kimi K3, $30 for Claude Opus 5 and $35 for GPT-5.6 Sol . That is not a workload-cost estimate — real bills depend heavily on the input/output mix, caching and token consumption — but it makes the relative API price tier easy to see. GLM-5.3 is not the cheapest capable model available. Google’s current introductory price for Gemini 3.7 Flash is $0.75 per million input tokens and $3.75 per million output tokens through Dec. 31, 2026, while OpenAI’s GPT-5.6 Luna is priced at $0.20 input and $1.20 output. Still, Z.ai’s price puts GLM-5.3 into a notably lower cost band than the premium frontier models it is increasingly benchmarked against. That comparison has become more relevant following the latest independent results. Artificial Analysis gives GLM-5.3 a score of 60 on its Intelligence Index , tying Kimi K3 as the top performing open weights model in the world, and scoring seven points higher than GLM-5.2. Its analysis also estimates GLM-5.3 at about $0.68 per Intelligence Index task, versus roughly $0.44 for GLM-5.2, despite the identical API token prices. The difference underscores an important caveat in headline API pricing: Artificial Analysis found GLM-5.3 more verbose than its predecessor, so flat per-token rates do not necessarily mean flat costs for a completed workload. For developers, though, the immediate change is straightforward: GLM-5.3 is now callable through Z.ai’s API at the same $1.40/$4.40 per-million-token rate as GLM-5.2, giving teams another relatively low-cost option for testing frontier-class coding and agent workloads.

VentureBeat·August 19, 2026·3 min read
Children's stunted lungs show recovery in ultra low emission zone

Matched "Google Developers"•Found in Content

TechnologyNews

Children's stunted lungs show recovery in ultra low emission zone

407 points 398 comments on Hacker News · bbc.com

Hacker News·August 19, 2026·1 min read
Jetpack XR SDK core libraries reach beta: The next milestone for Android XR

Matched "Google Developers"•Found in Description

MobileRelease

Jetpack XR SDK core libraries reach beta: The next milestone for Android XR

Posted by Amy Zeppenfeld, Developer Relations Engineer, Greg Underwood, Software Engineering Manager, Yasmine Evjen, Senior Product Manager, Android XR Since introducing the Android XR SDK, developers have transformed their ideas into innovative, immersive experiences for XR headsets and wired XR glasses. As the ecosystem expands, you can more easily take those experiences from preview to production and reach users wherever they are. Today, we're excited to announce that Jetpack SceneCore , ARCore for Jetpack XR , and XR Runtime have reached beta with Jetpack Compose for XR to follow soon! This means the APIs are stabilizing, making it a great time to start integrating them into your production workflows and creating for Android XR.  Why the Jetpack XR SDK? The Jetpack XR SDK includes all the tools and libraries you need to build immersive and augmented experiences for Android XR. Whether you're porting an existing 2D app or creating a new 3D XR app from scratch, you can do so using the familiar Android development tools you already know and love. To support your development, this release focuses on providing the fundamental building blocks across the SDK: Jetpack SceneCore : Build and manipulate the Android XR scene graph with 3D content. You can arrange 3D models , play spatial audio , and use the robust entity-component system to create, control, and manage entities. ARCore for Jetpack XR : Bring digital content into the real world with perception capabilities. This library powers depth estimation , persistent anchors , hit testing , and plane identification . XR Runtime : Provides the essential runtime foundation of the SDK, handling device lifecycles, session creation, and system configurations that enable the API surface. Jetpack Compose for XR : Create spatial UI layouts that take advantage of Android XR’s spatial capabilities. This library lets you use familiar Compose concepts to create spatial UIs and will be reaching Beta soon. What's new in Beta? Direct feedback from the developer previews helped shape these beta releases, introducing several important API refinements to ensure these libraries are ready for production. Expanded testing support: New capabilities are now available across the immersive XR libraries, including testing for spatial audio , XR devices , and session configuration . See the release notes for each library for details. Kotlin coroutines support: To better align with Kotlin coroutines, Session.create is now  a suspend function. Terminology and class updates: AnchorEntity has been renamed to AnchorSpace , and both ActivitySpace and AnchorSpace now extend a common SpaceEntity class for more consistent spatial management across scenes. See the full release notes for each library to check out specific details on naming and API changes. Get started and provide feedback To add these dependencies, include the Google Maven repository in your project and add the newest XR libraries to your build.gradle files. dependencies {     implementation("androidx.xr.scenecore:scenecore:1.0.0-beta02")     implementation("androidx.xr.arcore:arcore:1.0.0-beta02")     implementation("androidx.xr.runtime:runtime:1.0.0-beta02")     implementation("androidx.xr.compose:compose:1.0.0-alpha17") } The ecosystem of Android XR devices that power immersive experiences is expanding, ranging from XR headsets to wired XR glasses. There’s never been a better time to start building immersive experiences with the Jetpack XR SDK Beta. Dive in and start building and testing on Samsung Galaxy XR or Android XR Emulator today.

Android Developers Blog·August 18, 2026·3 min read
FORT Robotics to take safety stack public via SPAC merger

Matched "Google Developers"•Found in Content

RoboticsNews

FORT Robotics to take safety stack public via SPAC merger

FORT Robotics said it expects valuation of more than $500 million as it lists on Nasdaq with plans to accelerate safety software development. The post FORT Robotics to take safety stack public via SPAC merger appeared first on The Robot Report .

The Robot Report·August 18, 2026·6 min read
OpenAI makes ChatGPT less 'human' for teens in new safety update

Matched "Google Developers"•Found in Content

TechnologyNews

OpenAI makes ChatGPT less 'human' for teens in new safety update

OpenAI insisted this was not in response to a particular issue with children believing ChatGPT to be alive.

BBC·August 18, 2026·1 min read
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