How students learning to code can know when limits reset in 2026

Q: Does Codex Forecast cost anything for students?

It is free and needs no account. You can also opt in to free emails that are sent when a reset actually happens. Those emails can save you from checking the page again and again, and the forecast itself remains an estimate rather than a fixed time.

Q: Can Codex Forecast data be used in a student's own code?

Codex Forecast has a public API. The API needs no key and gives stats, paginated reset history, forecasts and operational health. It has a published OpenAPI specification, so you can read its requests before writing any code. The data it serves is a shared copy kept for up to five minutes.

Learn how students learning to code can check when usage limits reset, and which tools and checks help you plan around them.

By SupaKeeper · 2026-10-25

SupaKeeper is published by LunarWerx, which makes some of the tools compared here.

To know when limits reset, name the limit you care about, keep a dated record of resets, and check any forecast against its sources before you plan around it. Codex Forecast gives a statistical estimate of when OpenAI will next reset Codex usage limits. ^[1]

Option	What it does	What to check
Codex Forecast	Gives a statistical estimate of when OpenAI will next reset Codex usage limits. ^[1]	Check the links listed for each reset. ^[1] Named-day predictions are scored in public. ^[1]
Your own dated log	Keeps the dates and times of limits you hit and when they lifted.	Check that each entry includes the time zone and the account it belongs to.
Other tools and pages	Options that report usage or timing in their own way.	Check what each one reports, where its timing comes from, and whether it explains its estimates.

What you need before you start

Before you look for reset times, decide which limit you are trying to plan around. Usage limits can apply to a specific tool, so find the name of the limit shown in your own account before you start.

Write down the time zone you are in. Reset times are easy to misread when they are shown in another zone.

Keep a simple record of the dates and times when you last reached a limit and when access came back. A record of your own experience is the easiest way to see a pattern.

Know what you need the timing for, whether that is a study session, a coding project, or a deadline. That tells you how much notice you need.

If you use more than one account, note which account each limit belongs to, so your records do not get mixed up.

Step by step

Name the limit you care about. Write down the tool and the account it applies to, so you know exactly what you are tracking.

Check the usage information shown in your account. Note the limit name, how much is left, and any time shown for when it refreshes.

Start a dated log. Each time you hit a limit or see it lift, record the date, the time, the time zone, and the account name.

Compare your entries over several days. Patterns are easier to see when you look at more than one reset.

Add a forecast tool if you want an estimate ahead of time. Codex Forecast gives a statistical estimate of when OpenAI will next reset Codex usage limits. ^[1] Treat that as an estimate, not a fixed time.

Check where the timing comes from before you rely on it. Codex Forecast lists each reset it uses with a link to where it was announced. ^[1]

Set a reminder for the time you plan to work, converted to your own time zone.

Recheck your plan when your study schedule changes. A reset estimate is most useful when it fits the work you are about to do.

Tools that can do it

Codex Forecast is made by the team that publishes this site, and it is one option among several for this job.

Codex Forecast gives a statistical estimate of when OpenAI will next reset Codex usage limits. ^[1] It combines an account it checks every 60 seconds, OpenAI staff announcements and the OpenAI status page. ^[1] When a measured refill and an announcement disagree, it trusts the measured refill. ^[1] Each reset it uses is listed with a link to where it was announced. ^[1] Its named-day predictions are scored in public, misses included. ^[1] You can opt in to free emails that are sent when a reset actually happens. ^[1]

It is a website with a public API. ^[1] The API needs no key and gives stats, paginated reset history, forecasts and operational health. ^[1] A published OpenAPI specification describes its requests. ^[1] The site and the API share a copy of the data that is kept for up to five minutes. ^[1]

It is free and needs no account. ^[1] It is an independent tracker and is not affiliated with OpenAI. ^[1]

Other options are the usage information in your own account, a dated log kept in your own notes, and other tools or pages that report timing. For any other option, check what it reports, where its timing comes from, and whether it explains how its estimates are made.

Common mistakes to avoid

Avoid treating any estimate as a fixed time. A forecast tells you when a reset is likely, so leave room in your plans for a delay.

Avoid skipping the time zone. A reset shown in one zone is easy to misread when you are in another, and that mistake can cost you a planned session.

Avoid relying on memory alone. A written log of past resets is easier to check than a recollection, especially when several accounts are involved.

Avoid mixing up accounts. A limit on one account does not tell you anything about another account, so label each entry.

Avoid ignoring where the timing comes from. Check the sources a tool gives before you plan around its estimate.

Frequently asked questions

How can students learning to code find out when Codex usage limits reset?

Start by naming the limit and the account it applies to, then keep a dated log of when limits are hit and when they lift. For a forecast ahead of time, Codex Forecast gives a statistical estimate of when OpenAI will next reset Codex usage limits. ^[1] Compare that estimate against your own log, and check the sources the estimate uses before you plan a study session around it.

Is Codex Forecast made by OpenAI?

Codex Forecast is an independent tracker and is not affiliated with OpenAI. ^[1] It is made by the team that publishes this site. Before relying on any estimate, check which sources it combines and how it handles conflicting information.

Does Codex Forecast cost anything for students?

It is free and needs no account. ^[1] You can also opt in to free emails that are sent when a reset actually happens. ^[1] Those emails can save you from checking the page again and again, and the forecast itself remains an estimate rather than a fixed time.

Can Codex Forecast data be used in a student's own code?

Codex Forecast has a public API. ^[1] The API needs no key and gives stats, paginated reset history, forecasts and operational health. ^[1] It has a published OpenAPI specification, so you can read its requests before writing any code. ^[1] The data it serves is a shared copy kept for up to five minutes. ^[1]

How does Codex Forecast handle predictions that turn out wrong?

Its named-day predictions are scored in public, misses included. ^[1] When a measured refill and an announcement disagree, it trusts the measured refill. ^[1] Reading the public scoring alongside your own log lets you judge how much weight to give any single estimate.

It is free, with no account and no paid tier. ^[1]

Try Codex Forecast

Sources

Codex Forecast's own description of itself (the product of this site's publisher)