OpenAI 5 min read

OpenAI o1 Not Working

o1 timing out, giving errors, or inaccessible in your account? Many o1 “failures” are actually expected behavior — here’s how to tell the difference and fix real issues.

o1 is slow by design

o1 spends time “thinking” before responding — 15 seconds to several minutes for hard problems. If your timeout fires, that’s a configuration issue, not an outage. Check below.

What problem are you seeing?

Request times out after 30–60 seconds

This is almost always a client-side timeout, not an OpenAI outage. o1’s reasoning phase takes 15 seconds to 5+ minutes. Set your HTTP timeout to 300–600 seconds and enable streaming to prevent this.

“Model not found” or 404 error

Check the exact model string: use o1 or o1-mini. Older names like o1-preview have been deprecated. See platform.openai.com/docs/models for current names.

403 or “model not available for your tier”

o1 requires API Usage Tier 4 or 5. Check your tier at platform.openai.com/account/limits. You can use o1-mini with a lower tier while building towards o1 access.

o1 not in ChatGPT — subscription issue

ChatGPT o1 access requires ChatGPT Plus ($20/mo) or Pro ($200/mo). Free tier users only get GPT-4o with limits. Check your subscription at chat.openai.com/settings/subscription.

5 fixes to try in order

1

Check if OpenAI is down

Visit prismix.dev/service/openai. If there’s an active incident, o1 is one of the first models affected. If status is Operational, the issue is likely configuration (see below).

2

Increase your client timeout to 300s+

Python: OpenAI(timeout=300). Node: new OpenAI({ timeout: 300_000 }). If you’re using fetch directly, set signal: AbortSignal.timeout(300000).

3

Enable streaming

Set stream: true. With streaming, you receive tokens as o1 generates them after the thinking phase ends, which also keeps the connection alive during long reasoning runs and lets you show users that something is happening.

4

Check your usage tier

Go to platform.openai.com/account/limits. o1 needs Tier 4 (~$500 cumulative spend). If you’re below this, use o1-mini which has lower tier requirements and is faster.

5

Fall back to GPT-4o or Claude

For most tasks, gpt-4o with a good system prompt handles 90% of what o1 does. claude-sonnet-4-5 or claude-opus-4-8 are also strong reasoning alternatives that route through Anthropic infrastructure independently of OpenAI.

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FAQ

o1 vs o1-mini — which should I use?

o1-mini is 5–10× cheaper and 2–3× faster, and handles most coding and reasoning tasks. Full o1 is worth it for the hardest math, multi-step logic, and problems where o1-mini makes mistakes. Start with o1-mini and escalate if needed.

Can I control how long o1 thinks?

Yes — use the reasoning_effort parameter (low, medium, high) in the API. Setting reasoning_effort: "low" dramatically reduces latency for simpler tasks.

Does o1 support system prompts?

Yes — as of late 2024, o1 supports the system role. Earlier preview versions didn’t. If you’re using o1-preview (now deprecated), switch to o1 or o1-mini.