Is ChatGPT Down? How to Check OpenAI Status Right Now

ChatGPT has become core infrastructure for millions of developers and teams. When it goes down — and it does — workflows break, automations fail, and everyone wastes time trying to figure out if the problem is on their end or OpenAI's.

Here's how to check right now, understand what's actually happening, and make sure you're always the first to know.

Is ChatGPT Down Right Now?

Check these sources in order:

1. Statusfield — OpenAI status — real-time monitoring, updated continuously.
2. OpenAI's official status page — status.openai.com shows component-level status, but typically lags real incidents by 15–30 minutes.
3. Twitter/X — search ChatGPT down or OpenAI API down sorted by Latest. Users report issues faster than any status page updates.
4. OpenAI's developer forum — community.openai.com often has threads when the API is behaving unexpectedly.

ChatGPT vs. OpenAI API — They're Different Things

This matters when diagnosing an outage:

An outage affecting ChatGPT web doesn't necessarily affect the API, and vice versa. When OpenAI posts an incident, check which component is affected before assuming your product is broken.

Common Error Codes and What They Mean

If you're hitting the API, here's what errors typically indicate:

Important distinction: A 429 is almost always a rate limit or quota issue on your account — not an OpenAI outage. Before checking the status page, check your usage dashboard.

Why ChatGPT Goes Down So Often

OpenAI serves an extraordinary amount of traffic. Some factors that contribute to frequent incidents:

Viral moments. When a new capability launches (GPT-4o, o1, custom GPTs), traffic spikes instantly. OpenAI's infrastructure, while massive, gets tested at scale in ways that are hard to anticipate.

Model rollouts. Deploying new model weights to production is complex. Rollout issues can cause degraded performance or errors for subsets of users.

Capacity constraints. During peak hours (particularly 9 AM – 6 PM in the US and EU), API response times can degrade significantly even without a formal "incident."

The pace of shipping. OpenAI ships fast. That means more deployments, and more chances for something to go wrong.

OpenAI's Historical Outage Frequency

OpenAI is more transparent than most AI companies about their incident history. Checking their status page history reveals:

• Multiple incidents per month — typically affecting individual components or specific API models
• Major outages (affecting ChatGPT and the API broadly) — roughly 2–4 per quarter
• Degraded performance without a formal incident — significantly more frequent, often showing up as elevated latency or increased error rates

For comparison: a service like AWS has 99.99%+ uptime for core services. OpenAI's uptime is respectable but not at that level — you should architect your integration to handle failures gracefully.

Building Resilient OpenAI Integrations

If your product depends on the OpenAI API, outages are a when, not an if. Here's how to handle them:

Implement Retries with Exponential Backoff

async function callOpenAI(messages, retries = 3) {
  for (let attempt = 0; attempt < retries; attempt++) {
    try {
      const response = await openai.chat.completions.create({
        model: 'gpt-4o',
        messages,
      });
      return response;
    } catch (error) {
      if (attempt === retries - 1) throw error;
      
      const isRetryable = error.status === 429 || error.status >= 500;
      if (!isRetryable) throw error;
      
      // Exponential backoff: 1s, 2s, 4s...
      const delay = Math.pow(2, attempt) * 1000;
      await new Promise(resolve => setTimeout(resolve, delay));
    }
  }
}

Set Appropriate Timeouts

OpenAI responses can be slow, especially for long completions. Set explicit timeouts so a slow response doesn't block your whole application:

const openai = new OpenAI({
  timeout: 30 * 1000, // 30 seconds
  maxRetries: 3,
});

Use Streaming for Long Responses

Streaming reduces the chance of timeout errors on long completions. Instead of waiting for a complete response, process tokens as they arrive:

const stream = await openai.chat.completions.create({
  model: 'gpt-4o',
  messages,
  stream: true,
});
 
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? '');
}

Have a Graceful Degradation Plan

What does your product do when OpenAI is completely unavailable?

• Show a clear message: "AI features are temporarily unavailable. We're aware of the issue and monitoring it."
• Fall back to non-AI functionality: Can users still accomplish core tasks without AI assistance?
• Queue requests: For non-realtime use cases, queue the request and process it when the API recovers.
• Switch models: If GPT-4o is having issues, can you fall back to GPT-3.5-turbo or a different provider?

Monitor Error Rates in Your Own App

Add tagging to your OpenAI-related errors so you can alert on spikes:

try:
    response = client.chat.completions.create(...)
except openai.APIError as e:
    # Tag and track OpenAI-specific errors
    metrics.increment('openai.api_error', tags={
        'status_code': e.status_code,
        'error_type': type(e).__name__
    })
    raise

When your OpenAI error rate spikes from 0.5% to 15%, that's your early warning signal — often before OpenAI's status page shows anything.

How to Get Instant OpenAI API Alerts

Stop finding out about OpenAI outages from your users.

Monitor OpenAI on Statusfield and get alerted the moment any component changes status. Pick exactly which services you care about — the API, ChatGPT web, specific model availability — and route alerts to Slack, email, Discord, or webhooks.

Most teams set up monitoring for:

• OpenAI API — for any product built on GPT
• ChatGPT — for teams using ChatGPT for internal workflows
• Assistants API — for products built on threads/agents

Takes 2 minutes. You'll know about the next outage before your users do.

Start monitoring OpenAI →

Frequently Asked Questions

Is ChatGPT down for everyone or just me?

Check status.openai.com or Statusfield. If both show operational but you're still having issues, it's likely a local problem — try clearing your browser cache, disabling extensions, or testing on a different network. For API issues, check your rate limits and quota in the OpenAI dashboard.

Why does ChatGPT say "at capacity"?

This message appears when OpenAI's servers are under very high load and can't accept new requests. It's not a full outage — it's throttling. Try again in a few minutes, or consider ChatGPT Plus which has priority access during high-demand periods.

ChatGPT is slow — is it down?

Not necessarily. OpenAI's response times vary significantly by model, time of day, and server load. GPT-4 class models are slower than GPT-3.5 by design. Elevated latency (2-5x normal) is often reported even when the status page shows "operational." Use Statusfield to track performance trends.

My API key stopped working — is OpenAI down?

Usually not. A sudden API key failure is more often an account issue — billing problem, exceeded quota, or key revocation. Check your OpenAI usage dashboard first. If your account looks fine and errors persist, then check the status page.

How do I get notified when OpenAI API goes down?

Set up monitoring on Statusfield. You'll get instant alerts via Slack, email, or Discord the moment OpenAI reports an incident — faster than email subscriptions from OpenAI's own status page.

Can I use a different AI provider as a fallback when OpenAI is down?

Yes — many teams implement provider fallback using libraries like LiteLLM or custom routing logic. Common fallbacks: Anthropic (Claude), Google (Gemini), Mistral. This adds complexity but significantly improves resilience for critical AI-dependent workflows.