Codex Pricing

Pricing options

Frequently asked questions

How much does Sites cost?

Sites is free while in preview. Pricing information will be available soon.

What are the usage limits for my plan?

The number of Codex messages you can send depends on the model used, size and complexity of your coding tasks and whether you run them locally or in the cloud. Small scripts or routine functions may consume only a fraction of your allowance, while larger codebases, long-running tasks, or extended sessions that require Codex to hold more context will use significantly more per message.

GPT-5.5 uses significantly fewer tokens to achieve results comparable to GPT-5.4. Its Codex setup runs faster and delivers higher-quality results for most users. These efficiency gains support generous usage limits despite GPT-5.5 being a significantly more capable model.

Codex usage limits are shared with other agentic features once pricing for those features is effective. This currently includes ChatGPT for Excel on Plus and Pro.

Speed configurations increase credit consumption for all applicable models, so they also use included limits faster. Fast mode consumes credits at a higher rate for supported models. See Speed for supported models and rates. Image generations also use included limits ~3-5x faster on average, depending on image quality and size. GPT-5.3-Codex-Spark is in research preview for ChatGPT Pro users only, and isn’t available in the API at launch. Because it runs on specialized low-latency hardware, usage is governed by a separate usage limit that may adjust based on demand.

What happens when you hit usage limits?

ChatGPT Plus and Pro users who reach their usage limit can purchase additional credits to continue working without needing to upgrade their existing plan.

Business, Edu, and Enterprise plans with flexible pricing can purchase additional workspace credits to continue using Codex.

If you are approaching usage limits, you can also switch to a smaller model to make your usage limits last longer.

All users may also run extra local tasks using an API key, with usage charged at standard API rates.

How does image generation count toward usage limits?

Image generation counts toward the same general Codex usage limits as local messages and cloud tasks. Image generations use included limits 3-5x faster on average than similar turns without image generation, depending on image quality and size. After you reach your included limits, image generation also draws from credits.

Image generation isn’t available on the Free plan. When you use Codex with an API key, API pricing applies to image generation instead of included ChatGPT usage limits.

Where can I see my current usage limits?

You can find your current limits in the Codex usage dashboard. If you want to see your remaining limits during an active Codex CLI session, you can use /status.

How do credits work?

Credits let you continue using Codex after you reach your included usage limits. Usage draws down from your available credits based on the models and features you use, allowing you to extend work without interruption.

Codex credit usage is based on API token-based rates. Credits remain the core pricing unit that customers purchase and consume, but usage is calculated as credits per million input tokens, cached input tokens, and output tokens your workspace consumes. Read about tokens here.

The rate card below shows the credit cost per million tokens for Codex models and features.

A small subset of Enterprise customers should continue using the legacy rate card until we migrate you to the new token-based pricing for Codex. For more information, contact OpenAI sales.

Speed configurations will increase credit consumption for all models that apply. Fast mode consumes credits at a higher rate for supported models. See Speed for supported models and rates.

Learn more about credits in ChatGPT Plus and Pro.

Learn more about credits in ChatGPT Business, Enterprise, and Edu.

What counts as Code Review usage?

Code Review usage applies only when Codex runs reviews through GitHub—for example, when you tag @Codex for review in a pull request or enable automatic reviews on your repository. Reviews run locally or outside of GitHub count toward your general usage limits.

What can I do to make my usage limits last longer?

The usage limits and credits above are average rates. You can try the following tips to maximize your limits:

• Control the size of your prompts. Be precise with the instructions you give Codex, but remove unnecessary context.
• Reduce the size of your AGENTS.md. If you work on a larger project, you can control how much context you inject through AGENTS.md files by nesting them within your repository.
• Limit the number of MCP servers you use. Every MCP you add to Codex adds more context to your messages and uses more of your limit. Disable MCP servers when you don’t need them.
• Switch to a smaller model for routine tasks. Using GPT-5.4 or GPT-5.4-mini can extend your local-message usage limits, depending on the model you switch from.

Feature availability