Why OpenAI Status Can Show No Issues While You Still Have Problems

Updated

OpenAI Status can report "We're fully operational" while you still hit errors because the page measures availability at an aggregate level across all tiers, models, and error types. The page itself notes that individual customer availability may vary depending on subscription tier and the specific model and API features in use. So a green page means no broad, platform-wide incident is detected — not that your particular request path is healthy.

What the status page actually measures

The uptime figures on status.openai.com are rolled up per component group. For example, the APIs group lists 14 components with 99.97% uptime over Jul 2026 – Oct 2026, and ChatGPT lists 16 components at 99.70%. Those numbers combine all tiers, all models, and all error types into one figure.

Two consequences follow:

  • A single degraded model or feature can be diluted by healthy traffic on everything else in the same group.
  • A problem isolated to your tier, region, or request pattern may never move the aggregate number enough to trigger an incident.

The page states this directly: "Availability metrics are reported at an aggregate level across all tiers, models and error types. Individual customer availability may vary depending on their subscription tier as well as the specific model and API features in use."

Check the component that matches your workload

The page breaks status down by product area, so start there rather than at the top-line banner. Relevant groupings include:

Group Components listed Uptime shown (Jul–Oct 2026)
APIs Chat Completions, Responses, Agents, Decisions, Fine-tuning, Embeddings, Images, Batch, Audio, Moderations, Realtime, Files, Login, Live 99.97%
ChatGPT Conversations, Login, ChatGPT Work, Codex in ChatGPT Desktop, Compliance API, Search, File uploads, Voice mode, GPTs, Image Generation, Deep Research, Agent, dots, Space, Sites, Connectors/Apps 99.70%
Codex Codex Web, Codex API, CLI, VS Code extension 99.94%
FedRAMP FedRAMP 100%
Ads Platform Ads Manager, Ads API 99.992%

If your failures cluster on one component — say Realtime or Codex CLI — compare that component's figure and history rather than the overall banner. A component at 100% still only means no detected aggregate issue for that component.

Use history and subscriptions to confirm timing

Two features help you distinguish "known incident I missed" from "something specific to me":

  1. View history — check whether an incident overlapped your error window, even if the current banner is green. Incidents are often resolved before you look.
  2. Subscribe to updates — the page offers a subscription option so you receive incident notifications as they are posted, instead of discovering them after the fact.

If history shows no incident during your failures, the cause is more likely local: your API key or tier limits, a specific model or feature combination, request format, network path, or client-side configuration.

A practical triage order

  1. Confirm the current banner and the specific component you depend on.
  2. Open View history and check the exact window of your errors.
  3. Subscribe to updates so future incidents reach you directly.
  4. If no incident matches, treat it as a client-side or account-specific issue: verify the model and feature you are calling, your tier's access, and your request/response handling.
  5. When contacting support, include the component name, timestamps, and error types — the aggregate metrics won't show your individual pattern, so your own evidence is what makes the case diagnosable.

The short version: a clean status page rules out a broad outage, not your specific failure. Match the component, check the history window, and then look at your own tier and request path.