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How to know when Codex usage limits reset

Find out when Codex usage limits reset, what to check in your account, and how a tracker can estimate the next reset for Codex users.

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To know when Codex usage limits reset, keep a log of each reset with its date, time and source, check your usage view and OpenAI announcements, and use a tracker's estimate to plan around. Codex Forecast gives a statistical estimate of the next reset [1] and is free [2].

OptionWhat it gives youPrice
Codex ForecastStatistical estimate of the next Codex usage limit reset [1]Free, with no account and no paid tier [2]
OpenAI status pageOne of three inputs that Codex Forecast combines [3]not published
OpenAI staff announcementsOne of three inputs that Codex Forecast combines [3]not published

What you need before you start

Before you check for a reset, have three things ready. First, you need access to your Codex account and a way to see your current usage, so you know which limit you have reached. Second, note the day and time you were stopped, along with your time zone, because reset times are easier to compare when they use the same clock. Third, decide what you want to know: the exact moment of a reset, or a rough estimate you can plan around.

It helps to think of a reset as something you confirm after it happens. Your usage view shows your own account, and OpenAI announcements and the OpenAI status page can mention changes to limits. Your starting point is therefore a record of past resets, not a known schedule. Keep a simple note with the date, the time, and what the limit looked like when it reset. That note is what lets you tell a confirmed reset from a guess.

A notes app or a spreadsheet is enough for the log. Nothing else needs to be installed for the steps below.

Step by step

  1. Write down the moment a limit stops your work. Note the date, the time, your time zone, and which limit you hit.
  2. Look at your usage view in your Codex account for any reset time it shows, and write that down with the same date and zone. If it shows a reset time, that is the most direct evidence you have, so start with it.
  3. Check OpenAI staff announcements and the OpenAI status page for any note about usage limits or resets around the same date. Record the wording and where you found it, so you can return to it later.
  4. Compare what you found. If your usage view and an announcement point to the same reset, you have a solid entry for your log. If they disagree, write down both and leave the conflict visible rather than picking the answer you prefer.
  5. Keep a running log of resets, one line each, with the date, time, zone and source. After a few weeks the log shows how often resets arrive for you and how long your work usually waits. That history is more useful than any single guess.
  6. If you want a forecast of the next reset, use a tracker that publishes its method and its sources. Compare its estimate with your log before you trust it, and note whether it was early, late or close.
  7. Plan your work around the estimate, but leave room for it to be wrong. Check your usage view again just before a large task, because the view reflects your own account, while a forecast is only a prediction.

Tools that can do it

Codex Forecast is made by the team that publishes this site, and it is an independent tracker, not affiliated with OpenAI [4]. It gives a statistical estimate of when OpenAI will next reset Codex usage limits [1]. The estimate combines three inputs: an account it checks every 60 seconds, OpenAI staff announcements, and the OpenAI status page [3]. When a measured refill and an announcement disagree, it trusts the measured refill [5]. Each reset used in the forecast is listed with a link to where it was announced [6], so you can check the history yourself.

Its named-day predictions are scored in public, misses included [7]. If you want a message at the moment a reset happens, you can opt in to free emails that are sent when a reset actually happens [8]. The site is free, with no account and no paid tier [2]. It is a website with a public API that needs no key, and that API gives stats, paginated reset history, forecasts and operational health [9]. The API has a published OpenAPI specification [10]. The site and API share a snapshot that is cached for up to five minutes [11].

Codex Forecast fits when your main need is an estimate of the next reset plus a record of past resets [1]. If a message at the moment of reset matters most to you, check the opt-in email option first [8].

This page does not have approved details for other trackers, so for any other tool, check its own published pages for its price, where its reset dates come from, and whether it sends alerts.

Common mistakes to avoid

The most common mistake is treating an estimate as a promise. A forecast tells you when a reset is likely, not when it will happen. Codex Forecast's named-day predictions are scored in public, misses included [7], which is a good reason to plan with a margin rather than to the minute.

Another mistake is skipping the time zone. A reset noted as in the morning can look like a different day to someone in another zone, so write the zone with every entry.

People also tend to check only when they are blocked, and then cannot tell whether a reset already happened. A short note of each reset, with its date and source, prevents that.

Do not treat an alert as a substitute for looking at your own usage. After an alert, check your usage view before you start a large task.

Finally, avoid trusting a single source. When an announcement and your usage view disagree, record both and compare them over time.

Frequently asked questions

Does Codex Forecast cost anything to use?

Codex Forecast is free, with no account and no paid tier [2]. You can read its reset forecast and reset history on the website [1]. The public API can be used without a key [9]. If you want alerts, the opt-in emails are also free [8]. Check the site itself for any later changes to these terms.

Is Codex Forecast connected to OpenAI?

Codex Forecast is an independent tracker and is not affiliated with OpenAI [4]. It is made by the team that publishes this site. It draws on OpenAI staff announcements and the OpenAI status page as two of its inputs [3]. Because it lists the sources behind its dates, you can judge those sources for yourself [6].

Where does Codex Forecast get its reset dates?

Each reset used in the forecast is listed with a link to where it was announced [6]. The forecast combines an account it checks every 60 seconds, OpenAI staff announcements, and the OpenAI status page [3]. When a measured refill and an announcement disagree, it trusts the measured refill [5]. That lets you see the source behind each date before you rely on it [6].

How to get an email when a Codex usage limit resets?

Yes, you can opt in to free emails that are sent when a reset actually happens [8]. Because the emails follow an actual reset, they confirm a reset rather than predict one [8]. Look for the opt-in option on the site, and make sure the address you give is one you check while you work in Codex.

How accurate are Codex usage limit reset forecasts?

A forecast is a statistical estimate, not a fixed schedule [1]. Codex Forecast scores its named-day predictions in public, misses included [7]. Use that public record to judge how much margin to leave in your plans. Also compare any forecast with your own log of resets, since a prediction only helps when it matches what you see on your account.

It is free, with no account and no paid tier. [2]

Try Codex Forecast

Sources

  1. Codex Forecast's own description of itself (the product of this site's publisher)
  2. Codex Forecast's own description of itself (the product of this site's publisher)
  3. Codex Forecast's own description of itself (the product of this site's publisher)
  4. Codex Forecast's own description of itself (the product of this site's publisher)
  5. Codex Forecast's own description of itself (the product of this site's publisher)
  6. Codex Forecast's own description of itself (the product of this site's publisher)
  7. Codex Forecast's own description of itself (the product of this site's publisher)
  8. Codex Forecast's own description of itself (the product of this site's publisher)
  9. Codex Forecast's own description of itself (the product of this site's publisher)
  10. Codex Forecast's own description of itself (the product of this site's publisher)
  11. Codex Forecast's own description of itself (the product of this site's publisher)

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