Is Gemini Down?
Gemini is online
No issues reported. The website, app, and services are fully operational.
Service status is determined by merging official data with a 24-hour baseline of user-reported issues. Our tool recalculates these metrics every 30 minutes to provide a real-time, 360° view of connectivity.
Major Google Gemini Outages and Causes
As Google expands its artificial intelligence ecosystem, resource-heavy model updates and complex safety-filtering deployments can occasionally bottleneck API availability and server response times. Below are a few notable examples:
May 30, 2026
A prolonged partial outage severely degraded Google AI Studio, disrupting developers and power users for over 24 hours. This infrastructure strain coincided with widespread community reports of an "infinite loading loop," where prompts would get stuck on a permanent "Thinking…" phase without rendering a final output.
May 21, 2026
A critical infrastructure collapse completely knocked out access to Google AI Studio and the Gemini API. The severe server-side outage triggered immediate 50-minute blackouts during which active user applications failed to load and backend environments could not save project data.
Resource: Google AI Studio Status Archive: May 2026 Outage Reports
February 27, 2026
A faulty configuration change deployed to an underlying safety filtering service triggered a massive worldwide API disruption. The change unintentionally enabled broken code paths that completely overloaded the platform's capacity, impacting internal services like Google Cloud Support as well as public endpoints. Users across global markets were met with widespread HTTP 429 "Resource Exhausted" and HTTP 503 "Service Unavailable" errors for nearly two hours before engineering teams executed a successful system rollback.
Resource: Google Cloud Status Dashboard: Vertex AI Gemini API Incident Report
How our status checker works?
Our engine bridges the gap between official status updates and actual user experience, providing a 360° view of connectivity. Our tool analyzes user-reported issues over the past 24 hours to calculate the status of each service every 30 minutes.
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Official Sync
We synchronize with official platform status updates every 30 minutes to ensure major global outages are identified without fail.
What to Do If Google Gemini Is Down?
When our monitor confirms Google’s core servers are active but your workspace is unresponsive or returning error codes, the bottleneck is often localized. Try these four targeted troubleshooting steps to restore your workflow.
1Switch Your Network Entry Point
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Switch Your Network Entry Point Data-heavy, streaming AI responses are incredibly sensitive to packet loss and strict network firewalls. Public Wi-Fi or highly secure corporate networks may trigger automated security filters or intentional bandwidth throttling that interrupts long-poll API handshakes. Try switching from your local Wi-Fi connection to mobile data to establish a clean, unfiltered routing path to Google's server gateways.
2Shift Your Virtual Location to a Separate Cloud Node
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Shift Your Virtual Location to a Separate Cloud Node Because Google distributes its AI workloads across massive, regional data centers, a configuration deployment error or high traffic volume might paralyze servers in one territory while leaving other areas unaffected. Shifting your virtual routing to a different state or country can help you bypass localized server overloads, allowing your app or browser to talk to a healthy geographic node.
3Wipe Stale Caching Tokens and Browser Extensions
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Wipe Stale Caching Tokens and Browser Extensions Frequent updates to the Gemini UI can conflict with older temporary files stored in your browser's local memory. If you are stuck on a blank screen or a broken login page, try opening an incognito window with all extensions disabled. If the interface loads normally, clear your browser's cache and cookies to completely remove the old, conflicting data strings.
4Isolate Workspace and Model Version Settings
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Isolate Workspace and Model Version SettingsSometimes an account-specific error can perfectly mimic a global system crash. If you are on an enterprise or Workspace account, check with your administrator to ensure security parameters haven't changed. Additionally, if you are working in a developer environment and a specific experimental model variation is failing due to high server demand, falling back to a standard, generally available model iteration can often bypass the congested queue.
Frequently asked questions
Check the live status indicator at the top of this page; a solid green layout means the core servers and API endpoints are functional globally. A sudden, heavy peak in our community-submitted graph confirms an active system-wide emergency.
An HTTP 429 error indicates that the system has exhausted its available request limits, while a 503 error means the server is temporarily overloaded or undergoing maintenance. These are server-side capacity issues that typically require a fix or configuration rollback from Google engineers.
This can happen due to a temporary database dissociation error during a backend update or when account activity settings are modified. If the main platform is online, logging completely out, clearing cookies, and logging back in can force your profile to cleanly resync with the backend data store.
This behavior is usually tied to a backend synchronization slowdown or background safety filters hanging during content analysis. Refreshing the session or changing your connection path can help re-establish a fast, responsive data stream to the active models.
Minor API disruptions or data saving glitches are usually mitigated within 45 to 60 minutes. Widespread infrastructure core changes or safety filter conflicts can take up to two hours of active engineering deployment to fully resolve.
