Gemini Status: How to Check If Google Gemini Is Down Right Now (2026)
Where to find the official Google Gemini status page, what each component means, and how to diagnose Gemini API and AI Studio issues in real time.
Is Gemini Down Right Now?
Check Google Cloud Service Health at status.cloud.google.com for Gemini API / Vertex AI incidents. For the consumer Gemini app, check gemini.google.com directly or Google Workspace Status.
Where to Find Google Gemini Status
Gemini status is reported across multiple Google dashboards depending on which surface you are using. Use the right dashboard for your use case:
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On the Google Cloud Status Dashboard, Gemini-related services appear under several product names. Here is what each covers:
Vertex AI
The primary status product for Gemini API on Vertex AI (aiplatform.googleapis.com). Covers model inference, fine-tuning jobs, and Vertex AI Studio. Enterprise Gemini users should watch this.
Vertex AI Search and Conversation
Covers Gemini-powered search (formerly Enterprise Search) and Dialogflow CX integrations. Separate from base model inference.
Cloud AI Platform
Legacy product name that may still appear for some Gemini API incidents. Overlaps with Vertex AI.
Google AI Studio (generativelanguage.googleapis.com)
The free-tier / API key path. Incidents here are less commonly listed on Cloud Status — check ai.google.dev/status or monitor directly.
Google Workspace (Gemini for Workspace)
Gemini features inside Docs, Gmail, Sheets, and Meet are tracked under workspace.google.com/intl/en/status/ separately from the developer API.
Common Gemini API Errors and What They Mean
| Error | Meaning | Action |
|---|---|---|
| 429 RESOURCE_EXHAUSTED | Rate limit or quota exceeded — NOT an outage | Check quota dashboard in Cloud Console; implement exponential backoff |
| 503 Service Unavailable | Temporary overload or platform incident | Retry with exponential backoff; check status.cloud.google.com |
| 500 Internal Server Error | Model inference failure — may be transient | Retry once; if persistent, check for Vertex AI incident |
| 400 INVALID_ARGUMENT | Malformed request — not a platform issue | Validate your prompt format, system instructions, and safety settings |
| 403 PERMISSION_DENIED | API key missing Gemini API scope or billing not enabled | Check API key permissions in Google AI Studio or enable billing in Cloud Console |
| 404 Model not found | Deprecated or misspelled model name | Use a current model ID (gemini-1.5-pro, gemini-2.0-flash, gemini-2.5-pro) |
| RECITATION / SAFETY_BLOCK | Response blocked by safety filters — not a downtime event | Adjust safety settings or rephrase prompt; not platform-side issue |
| Connection timeout / no response | Network issue or severe platform degradation | Test with curl to isolate; check status page and retry with different region |
Gemini API Troubleshooting: Step-by-Step
Check the Cloud Status Dashboard
Go to status.cloud.google.com and filter for "Vertex AI." If there is an active incident, it explains your errors. Note: Google often lists incidents 20–40 minutes after they are detectable — don't wait for the dashboard if your monitoring already shows failures.
Test with a minimal curl request
Send the smallest possible request directly to the API to isolate whether the issue is in your code or the platform: curl -X POST "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=YOUR_KEY" -H "Content-Type: application/json" -d '{"contents":[{"parts":[{"text":"Hello"}]}]}'. A 200 response confirms the API is up.
Check your quota usage
Navigate to Google Cloud Console → APIs & Services → Gemini API → Quotas. A 429 error means you have hit Requests Per Minute (RPM) or Tokens Per Minute (TPM) limits — this is NOT a platform outage. Implement exponential backoff with jitter for automatic recovery.
Verify your model ID is current
Google regularly deprecates Gemini model versions. If you are referencing an old model name like gemini-1.0-pro or gemini-pro, it may have been retired. Switch to gemini-1.5-pro-latest, gemini-2.0-flash, or gemini-2.5-pro to use supported versions.
Try a different region (Vertex AI users)
Vertex AI Gemini supports regional endpoints (us-central1, us-east4, europe-west4, asia-southeast1). If one region is degraded, sending requests to a different region can bypass the incident. Update your Vertex AI client location parameter to switch regions.
Check Google AI Studio vs API path
If the AI Studio UI is broken but the API works (or vice versa), these are separate systems. The generativelanguage.googleapis.com endpoint (AI Studio / API key path) and aiplatform.googleapis.com (Vertex AI path) have independent reliability. Consider switching paths as a temporary mitigation.
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Try Better Stack Free →Frequently Asked Questions
Where is the official Google Gemini status page?
Google Gemini's status is tracked via the Google Cloud Service Health dashboard at cloud.google.com/support/docs/dashboard for API-level issues, and the Gemini Apps status at gemini.google.com/faq for consumer-facing issues. Developers using the Gemini API (via Google AI Studio or Vertex AI) should also check status.cloud.google.com and filter for 'Vertex AI' or 'Gemini API' products.
Why is the Gemini API returning errors right now?
Gemini API errors have several common causes: (1) A platform incident — check status.cloud.google.com for active Vertex AI / Gemini API incidents, (2) Rate limiting — the Gemini API has per-minute and per-day quotas; a 429 RESOURCE_EXHAUSTED error means you have hit your quota, not that the API is down, (3) Invalid API key — verify your API key is correct and has access to the Gemini API in Google AI Studio or Google Cloud Console, (4) Model deprecation — older model versions (like gemini-1.0-pro) may be deprecated; switch to gemini-1.5-pro or gemini-2.0-flash, (5) Regional routing — Vertex AI Gemini has regional endpoints; try specifying a different region if one is degraded.
Is Google AI Studio down or is it just the Gemini API?
Google AI Studio (aistudio.google.com) and the Gemini API (generativelanguage.googleapis.com) are related but separate services. AI Studio can be down while the API works fine for SDK users, and vice versa. To check: (1) For AI Studio UI issues: try aistudio.google.com in a private browser window and check Google Workspace Status at workspace.google.com/intl/en/status/, (2) For Gemini API issues: test directly with a curl command using your API key or check status.cloud.google.com. If AI Studio shows errors but the API responds correctly via curl, the issue is in the AI Studio frontend, not the underlying model.
What is the difference between Gemini API via Google AI Studio vs Vertex AI?
Gemini is available through two paths with separate status reporting: (1) Google AI Studio / Gemini API (generativelanguage.googleapis.com) — simpler access with API keys, free tier available, monitored at ai.google.dev, (2) Vertex AI Gemini (aiplatform.googleapis.com) — enterprise-grade, VPC-compatible, monitored at status.cloud.google.com under 'Vertex AI'. An outage on Vertex AI does not always affect the Google AI Studio endpoint and vice versa. If one path is degraded, switching between them is a valid short-term mitigation.
Is Gemini down for everyone or just me?
To determine if Gemini is down globally or locally: (1) Check status.cloud.google.com for Vertex AI / Gemini API incidents — a listed incident means global impact, (2) Test the API directly with a minimal curl command to the generativelanguage.googleapis.com endpoint with your key, (3) Check Google Cloud's Twitter/X (@googlecloud) or Gemini's official channels for announcements, (4) Try a different network (mobile data vs Wi-Fi) to rule out local firewall or DNS issues — some corporate firewalls block Google AI endpoints, (5) Check community forums like Google AI Developer Forum or r/GoogleGeminiAI for reports.
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