GPT-5.3-Codex API model
400,000 context window; 128,000 max output tokens
Good official anchor for API/model capability. Do not assume every Codex client exposes the full practical window.
S3Codex limits / live utility
Use this when Codex says the limit is close, context starts compacting, a configured window does not stick, or a team needs to decide whether Codex or Claude Code will last through a real coding session.
Plan allowance, task size, execution surface, context pressure, and model/client behavior all affect how quickly you hit the wall.
Resolve your caseLimit resolver
Open the Codex usage page first. If the current turn is already running, Codex can usually continue that turn subject to fair-use limits, then you use the banner/page options after the turn.
Use Codex to test fit. If you are hitting limits while doing real work, the answer is usually plan upgrade or smaller tasks.| Plan | Official read | Best fit | Practical limit read | Source |
|---|---|---|---|---|
| Free | Limited trial access | Testing Codex before a paid plan. | Expect the narrowest allowance. Check the limit banner when it appears. | S2 |
| Go | Limited trial access | Low-frequency trials where Codex is not the main coding tool. | More access than Free, still not a sustained daily coding plan. | S2 |
| Plus | A few focused coding sessions each week | Short bugfixes, small features, and focused repo work. | Usage depends on task size and where the task runs. Credits may be available when near limit. | S1 / S2 |
| Pro | 5x or 20x more usage than Plus | Longer daily sessions and heavier coding workflows. | Still not literally unlimited. Long context, large repos, and cloud tasks burn allowance faster. | S1 / S2 |
| Business Codex | Pay as you go based on usage | Teams that want Codex without fixed seat assumptions. | Treat this as usage-metered. Pair with budgeting, analytics, and admin policy. | S2 |
| Business / Enterprise | Workspace controls and Codex usage visibility | Managed teams that need auditability and policy controls. | Use workspace analytics and Compliance API where available; local and cloud usage are separate surfaces. | S1 / S2 |
400,000 context window; 128,000 max output tokens
Good official anchor for API/model capability. Do not assume every Codex client exposes the full practical window.
S3Varies by model, client, config, and surface
The effective working window can be lower than the model headline when the client compacts, caps, or ignores unsupported config.
S1/S4Config knobs exist, but unsupported values may not behave as expected
A GitHub issue reports a roughly 1M setting being reduced or ignored around 258k in one Windows/config case.
S4Long sessions and larger codebases consume more allowance
A message is not a fixed unit. File reads, pasted content, instructions, and conversation history all change the burn.
S1Context pressure estimator
Healthy. Keep working, but compact before a large direction change.
Official API model context window.The task is still stable, but the session is carrying too much history. Compact before the next large read.
If Codex explored the wrong files or the task changed, a fresh prompt with narrow paths usually beats preserving clutter.
If a large context setting does not stick, separate model limit, client limit, and unsupported config before debugging.
If the banner says you are constrained, use the plan options first. Context tricks do not create allowance.
Not in a simple public-message-count sense. OpenAI says Codex usage counts toward agentic usage and varies with task size, complexity, and where work executes.
No. The API model page is an official model capability. The Codex app or CLI may have effective client behavior, compaction, or config limits that make the working window feel different.
Compact if the goal is stable and the session still has the right files. Start fresh if the task direction changed, the session read too much unrelated code, or the important state is easier to restate than preserve.
Some usage surfaces exist, especially for plans and enterprise analytics, but per-conversation visibility is fragmented. This is why the local session and dashboard checks are separate in the matrix.
OpenAI Help Center - Plan inclusion, usage-limit behavior, usage page, Compliance API, active-turn behavior.
ChatGPT - Plan positioning for Free, Go, Plus, Pro, Business, and Enterprise Codex access.
OpenAI API docs - Official model context window, max output tokens, and token pricing for GPT-5.3-Codex.
openai/codex GitHub issue - Observed client/config mismatch around large context-window settings.
OpenAI Community - User need for per-conversation token usage and practical observability.