# Codex Pricing

Pricing options

- Codex on the web, in the CLI, in the IDE extension, and on iOS - Cloud-based integrations like automatic code review and Slack integration - The latest models, including GPT-5.5, GPT-5.4, and GPT-5.3-Codex - GPT-5.4-mini for higher usage limits on routine local messages - Flexibly extend usage with [ChatGPT credits](#credits-overview) - Other [ChatGPT features](https://chatgpt.com/pricing) as part of the Plus plan **Double your normal Codex usage on the $100/month tier until May 31, 2026.** - Access to GPT-5.3-Codex-Spark (research preview), a fast Codex model for day-to-day coding tasks - ~~5x~~ 10x or 20x more Codex usage than Plus* - Other [ChatGPT features](https://chatgpt.com/pricing) as part of the Pro plan - Codex in the CLI, SDK, or IDE extension - No cloud-based features (GitHub code review, Slack, etc.) - Delayed access to new models like GPT-5.3-Codex and GPT-5.3-Codex-Spark - Pay only for the tokens Codex uses, based on [API pricing](https://platform.openai.com/docs/pricing)
## Frequently asked questions ### 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.
Local Messages[\*](#shared-limits-plus) / 5h Cloud Tasks[\*](#shared-limits-plus) / 5h Code Reviews / 5h
GPT-5.5 15-80 Not available Not available
GPT-5.4 20-100 Not available Not available
GPT-5.4-mini 60-350 Not available Not available
GPT-5.3-Codex 30-150 10-60 20-50
*The usage limits for local messages and cloud tasks share a **five-hour window**. Additional weekly limits may apply.
For Enterprise/Edu users, there are no fixed rate limits - usage scales with [credits](#credits-overview)
Enterprise and Edu plans without flexible pricing have the same per-seat usage limits as Plus for most features
Codex usage limits are shared with other agentic features once pricing for those features is effective. This currently includes [ChatGPT for Excel](https://help.openai.com/articles/20001063) 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](https://developers.openai.com/codex/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](https://help.openai.com/en/articles/11487671-flexible-pricing-for-the-enterprise-edu-and-business-plans) 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](https://platform.openai.com/docs/pricing). ### 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](#credits-overview). 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. ### What's the current Codex usage promo on Pro? We’re currently offering extra Codex usage on both Pro tiers. For **Pro $100**, to celebrate the launch, you’ll get **2x Codex usage through May 31, 2026**. That means 10x usage instead of the standard 5x. **For Pro $200**, as a thank you to our most loyal customers, we’re carrying forward the benefits of our earlier 2x promo, which means Pro $200 now includes 20x Plus on an ongoing basis. In addition, we’re continuing to honor the higher 5-hour Codex limits for a limited time, so those remain at 25x Plus through May 31, 2026 instead of the standard 20x Plus. ### Where can I see my current usage limits? You can find your current limits in the [Codex usage dashboard](https://chatgpt.com/codex/settings/usage). 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. As of April 2nd, we're moving pricing to API token-based rates. Credits remain the core pricing unit that customers purchase and consume, but usage is based on tokens consumed, calculated as credits per million input tokens, cached input tokens and output tokens your workspace consumes. Read about tokens [here](https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them). This format replaces average per-message estimates for your plan with a direct mapping between token usage and credits. It's most useful when you want a clearer view of how input, cached input, and output affect credit consumption. Under this model, actual credit usage depends on the mix of input, cached input, and output tokens in each task. The new rate card is displayed in the table below, and is currently applicable to **new and existing Business customers, and new Enterprise customers**. **New and existing customers on all other plan types** should continue to use the previous message based rate card, until we migrate you to the new rates in the upcoming weeks. Select your appropriate plan type in the table below to see rates.
Credits per 1M tokens Input Tokens Cached input tokens Output Tokens
GPT-5.5 125 credits 12.50 credits 750 credits
GPT-5.4 62.50 credits 6.250 credits 375 credits
GPT-5.4-mini 18.75 credits 1.875 credits 113 credits
GPT-5.3-Codex 43.75 credits 4.375 credits 350 credits
GPT-5.2 43.75 credits 4.375 credits 350 credits
GPT-5.3-Codex-Spark research preview
GPT-Image-2 (image) 200 credits 50 credits 750 credits
GPT-Image-2 (text) 125 credits 31.25 credits 250 credits
Fast mode consumes credits at a higher rate for supported models. See Speed for rates.
Cloud tasks and code review run on GPT-5.3-Codex.
Speed configurations will increase credit consumption for all models that apply. Fast mode consumes credits at a higher rate for supported models. See [Speed](https://developers.openai.com/codex/speed) for supported models and rates. [Learn more about credits in ChatGPT Plus and Pro.](https://help.openai.com/en/articles/12642688) [Learn more about credits in ChatGPT Business, Enterprise, and Edu.](https://help.openai.com/en/articles/11487671-flexible-pricing-for-the-enterprise-edu-and-business-plans) ### 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](https://developers.openai.com/codex/guides/agents-md#layer-project-instructions). - **Limit the number of MCP servers you use.** Every [MCP](https://developers.openai.com/codex/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.