Z.ai app: the mobile experience overview

Z.ai app overview

The Z.ai app brings the GLM model family to iOS and Android with a native mobile interface, model switching, and conversation sync.

The Z.ai app is the mobile interface to the same GLM models available through the web chat surface and the BigModel API. It offers a native mobile interaction layer — touch-optimised text input, a compact model picker, and mobile-appropriate notification behaviour — on top of the same underlying model infrastructure. A user who primarily uses Z.ai on a desktop and occasionally needs access on a phone will find the app experience familiar: the same conversation history, the same account, and the same model options are present.

The app is available on both iOS and Android. App store availability varies by region; the iOS App Store and the Google Play Store are the primary distribution channels. In some markets, the app may be listed under a slightly different name or may require a region-appropriate store account to download. Regional availability has expanded over the past year as the platform has invested in international distribution.

Core app features

Four primary features distinguish the Z.ai app from a simple mobile browser session on the same service.

The first is the native chat interface. The app presents a mobile-optimised conversation thread with a keyboard-aware input bar, markdown rendering for model outputs that include headers and code blocks, and swipe navigation between conversations. Contrast this with the mobile web experience, which works but can feel cramped on smaller screens and lacks the keyboard-handling behaviour native apps provide.

The second is the model picker. Switching between GLM variants — the small-tier flash models for quick responses, the mid-tier models for substantive work, the flagship GLM-4.5+ for quality-critical tasks — is accessible through a menu that appears before starting a new conversation or from a persistent control within an open conversation. The model picker in the app mirrors the options available on the web; it does not add or remove models relative to the web surface.

The third is conversation history sync. Conversations started in the app are immediately accessible on the web surface when signed in, and vice versa. The sync is server-side and happens without manual export — a conversation thread begun on a desktop in the morning can be continued on a phone in the afternoon without any action beyond signing in. History retention follows the same policy as the web: signed-in sessions retain history indefinitely until manually deleted; anonymous sessions do not persist across browser or app sessions.

The fourth is push notifications. The app sends push notifications for long-running request completions — useful for prompts that generate extended outputs and take longer to finish — and for account-level alerts such as billing threshold warnings. Notification settings are configurable in the device settings and within the app's preferences panel. In some markets, push notifications are off by default to align with local data minimisation preferences.

Z.ai app — five core features, their use cases, and notes

App feature	Use case	Notes
Native chat interface	Mobile-optimised conversation with markdown rendering and keyboard-aware input	Better than mobile browser for sustained conversations; not a replacement for desktop on document-heavy tasks
Model picker	Switch between GLM variants before or within a conversation	Mirrors the web surface model catalog; flagship and small-tier both accessible
Conversation history sync	Continue web conversations on mobile and vice versa	Requires signed-in account; syncs server-side without manual export
Push notifications	Alert on long-response completion and billing thresholds	Configurable in device settings; off by default in some markets
Offline draft queue	Compose messages while offline; sends when connectivity returns	Draft queue behaviour varies by platform version; does not queue API-style structured requests

App vs web vs API — choosing the right surface

The right surface depends on the use context: app for mobile casual use, web for extended sessions, API for programmatic builds.

The Z.ai app is the right surface for casual on-the-go use: quick questions, short drafts, in-context references during meetings, and any scenario where a phone is the most convenient device. The app's mobile-native keyboard handling and push notifications make it the best experience for single-conversation interactions on a small screen.

The web surface is better for extended sessions, particularly those involving long-form text generation, document uploads (where supported), or multi-window workflows where the user has a reference document open alongside the chat. The browser context provides more screen real estate and is more forgiving of long conversations with heavy formatting.

The API is the right surface for any programmatic use case — building a product that calls the GLM models, batch-processing a document corpus, integrating GLM output into another tool, or running structured evaluation tasks. The app and the web surface are consumer chat interfaces; the API is for developers who need programmatic control over model selection, request parameters, and response handling. The API reference and the integrations reference cover that path in detail.

Common app issues and how to resolve them

Three issues recur in community reports about the Z.ai app and each has a known resolution.

The first is the language default. Like the web surface, the app defaults to Chinese on first launch. The language setting is in the app preferences, typically accessible from the profile or settings icon. Setting it to English persists for subsequent sessions. Unlike the web, the app's language setting may require a full app restart rather than a page reload to take effect.

The second is download availability in certain regions. The Z.ai app is not in every regional app store. Teams in regions where the app is not listed have two options: sideloading from an APK on Android (with the usual caveats about source verification) or using the mobile web interface, which is a capable fallback for the most common app use cases. The English access reference covers the web toggle path for teams taking this route.

The third is conversation sync lag. On slower connections, the sync between app and web can take a few seconds after a conversation is created. This is typically visible as a short delay before a new conversation appears on the web surface after being started on the app. It is not data loss; the conversation is written server-side immediately and the display lag is a refresh interval issue. A manual refresh on the web surface resolves it instantly.