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Reviewed guide · September 1, 2026

Codex limits: coding-agent usage is metered by work, not messages

Codex is included with Plus, Pro, Business, Enterprise and Edu, and it is the feature most likely to exhaust a plan. It is metered by tokens under OpenAI’s rate card, so a vague repository-wide task can cost what fifty small fixes cost. This page explains the metering and how to work with it.

Reviewed: . Figures marked official come from OpenAI’s help center; everything else is labelled as observed or approximate.

Important: OpenAI changes plan rules, model names and allowances without notice. The message and reset time inside ChatGPT is the only number that is definitely yours.

How it is metered

Four variables decide what a task costs.

OpenAI: usage “depends on the model, task size, reasoning effort, and amount of work performed”.

Model

Sol Pro reasoning costs more per step than Sol; Luna-class steps cost least.

Task size

Files read, commands run, tests executed and diffs written all consume tokens.

Reasoning effort

Higher effort settings think longer per step.

Amount of work

An agent that explores a codebase to find the problem spends far more than one told where to look.

By plan

Codex headroom per tier.

PlanCodexPast the allowance
Free / GoNot included
Plus $20Included, token-meteredWait for reset
Pro $100 / $200Included, 5x / 20x Plus usageWait for reset
BusinessIncluded per seatWorkspace credits if enabled
Enterprise / EduIncluded per contractCredits and admin controls

Prompts that save tokens

Scope is the whole game.

TaskEfficient Codex prompt
Bug fixExpected vs actual behaviour, the failing test command, the file or function you suspect
FeatureAcceptance criteria, files to touch, files not to touch, how to verify
RefactorOne module at a time, with the test command to run after each step
ReviewPoint at the diff or PR, name the concerns (security, performance, style)

Make it last

Habits for long coding days.

01

Plan in chat first

Text is unlimited. Work out the approach in a normal chat, then hand Codex a precise task.

02

One issue per run

Small scoped runs are cheaper and easier to review than one sprawling instruction.

03

Name the files

Every file the agent has to discover costs tokens.

04

Provide the test command

The agent verifies in one cycle instead of guessing.

05

Lower the effort for routine work

Save the highest reasoning setting for architecture, not renames.

Alternatives

What to use when Codex is capped.

Other coding agents draw on their own plans; the summary you carry across is what matters. None of these are affiliated with OpenAI.

Disclosure: MultipleChat is built by the team that runs this site. It is listed as one option among several; nothing on this page is paid placement.

Official sources

Where to verify the current rule.

Checked September 1, 2026. OpenAI changes plan rules without notice; these pages and your own in-app counter are authoritative.

FAQ

Codex limit questions answered.

Is the Codex limit the same as the ChatGPT limit?

No. Text chat is unlimited; Codex is metered by tokens under OpenAI’s Codex rate card, and usage depends on the model, task size, reasoning effort and the amount of work performed.

Which plans include Codex?

Plus, Pro, Business, Enterprise and Edu. Pro has more headroom than Plus; Business and Enterprise can extend usage with workspace credits.

How many Codex tasks do I get?

OpenAI does not publish a task count because tasks vary enormously. A one-file fix and a repository-wide refactor with tests can differ by orders of magnitude in tokens.

What uses the most Codex allowance?

Long autonomous runs that read many files, high reasoning effort, repeated test cycles, and vague prompts that make the agent explore.

Can Support reset Codex usage?

No. OpenAI states that Support does not reset ChatGPT or Codex usage limits.

Codex CLI or the ChatGPT Codex tab — same limit?

They draw on the same plan allowance and rate card. Check the in-product usage messages; they are the source of truth.