OpenAI status: API, auth, latency & outage reports

Operational

Last probe 13 min ago·4 surfaces

Likely your sideMEDIUM confidence

📡 Official status page →📚 Docs →💳 Pricing →

100.0%

24h Uptime

373ms

p50 Latency

906ms

p95 Latency

Incidents (30d)

Current Status

✅

Operational

Everything works normally

✓Checked by our probes · 356ms

Verified 12m ago

✓No major incident reported

ⓘNo reports in the last 24h

Having issues?

Help other users by reporting if OpenAI is not working for you.

0reports in the last 24 hours

Surface Health

OpenAI APIOperational

HTTP 200p50 350ms1h ago

ChatGPTOperational

HTTP 200p50 373ms57m ago

DALL-EOperational

HTTP 200p50 384ms27m ago

SoraOperational

HTTP 200p50 384ms12m ago

Uptime — last 24h

100.0%

Latency — last 20 probes

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Is OpenAI down for everyone?

Likely local or client-side issue

Our probes see normal responses. The issue is likely on your end or in your network path.

Moderate confidence

Probe summary (4 surfaces)

All surfaces operational as of last probe.

Signals detected

All monitored surfaces operational
No recent user reports
Check your network, credentials, or rate limits

Incident history (30d)

✓No incidents recorded in the past 30 days.

Reported symptoms

No user reports for OpenAI in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

The OpenAI API provides programmatic access to OpenAI models (chat completions, responses, realtime, images, audio, embeddings, batch, files, assistants). Different infrastructure from ChatGPT web.

Community channels

🗣️ OpenAI Developer Forum✓🟠 r/OpenAI✓

What we monitor

Chat Completions API —

Responses API —

Realtime API — Streaming audio/text

Images API —

Audio API — TTS/Whisper

Embeddings API —

Batch API — Async

Assistants API —

Files API —

Status page segments

APIsChatGPTCodexSora

Model families

GPT-5, GPT-4o, GPT-4o minio1, o3 (reasoning)DALL-E 3 (images)Whisper (STT), TTS

Common limits & quotas

API access uses tiered rate limits (Tier 1-5) based on payment history and usage
Rate limits expressed per-model in requests-per-minute (RPM) and tokens-per-minute (TPM)
Tier thresholds and exact limits are published on platform.openai.com

Ecosystem dependencies

Many third-party apps depend on OpenAI APIs; dependency patterns varyAzure OpenAI Service is a distinct infrastructure, not a proxyAssistants API depends on Files API for attached resources

Operator notes

The Azure OpenAI/direct OpenAI split is the most important fallback for production users
Rate limit headers (x-ratelimit-*) return real quota state on every response — log them proactively, don't wait for 429
Tier upgrades are often automatic based on spending; programmatic tier probing is unnecessary
For Realtime API, connection drops are expected; implement reconnect logic, don't flag as outage

Diagnostic signals

x-request-idx-ratelimit-limit-requestsx-ratelimit-remaining-requestsx-ratelimit-reset-requestsx-ratelimit-limit-tokensx-ratelimit-remaining-tokensretry-after$ curl https://api.openai.com/v1/models -H "Authorization: Bearer $OPENAI_API_KEY" — basic reachability + lists models

$ curl https://api.openai.com/v1/chat/completions -H "Authorization: Bearer $OPENAI_API_KEY" -H "Content-Type: application/json" -d '{"model":"gpt-4o","messages":[{"role":"user","content":"ping"}]}' — real inference test

$ curl -I https://api.openai.com — TLS/DNS sanity check

Fallback alternatives

What to use if this service is down

Direct OpenAI API is degraded

Azure OpenAI Service can reduce downtime for prod workloads (separate infrastructure)

Low-medium cost if already provisioned

Easy switch

Full OpenAI ecosystem unavailable

Anthropic API, Google Gemini API, Mistral API can reduce downtime for general chat

Low cost with abstraction layer

Easy switch

Embeddings API down

Voyage AI or Cohere Embed are drop-in alternatives

Easy switch

Latency-sensitive workloads

Groq (fast inference on open-weight models) can reduce latency tail

Different model quality

Moderate effort

How we monitor

downforai.com probes each AI service every 2–5 minutes from multiple independent locations. We measure HTTP response codes, latency (p50 & p95), and endpoint availability across the surfaces listed above. Status is classified as Operational, Degraded, or Outage based on a weighted combination of probe results. Uptime is calculated over 30-minute buckets and the last 24 hours. User reports are factored into our diagnosis as a secondary signal. We are independent of all providers listed and receive no compensation to report any particular status.

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