# Codex Pricing ChatGPT Work and Codex share usage. Work usage inside ChatGPT uses the same pricing, credits, and usage limits as Codex.

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 GPT-5.6 model family, including Sol, Terra, and Luna - GPT-5.6 Luna for higher usage limits on lighter-weight or high-volume workloads - Flexibly extend usage with [ChatGPT credits](#credits-overview) - Other [ChatGPT features](https://chatgpt.com/pricing) as part of the Plus plan - Access to GPT-5.3-Codex-Spark (research preview), a fast Codex model for day-to-day coding tasks - 5x 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.) - Model availability follows the API models available to your key - Pay only for the tokens Codex uses, based on [API pricing](https://platform.openai.com/docs/pricing)
## Invite friends and coworkers Eligible users can send Codex invitations from the profile menu in the lower-left corner of the app. Choose **Invite a friend** on an eligible personal plan or **Invite a coworker** in an eligible Business workspace, enter the recipient's email address, and send the invitation. The invitation dialog shows the current reward, recipient requirements, invite limits, and when rewards expire for your plan or promotion. Personal and Business referral programs have separate rewards and eligibility rules. Referrals aren't currently available for ChatGPT Enterprise. From June 11 through June 24, 2026, eligible Plus and Pro users can invite up to three friends. When an eligible recipient sends their first Codex message, both people receive a banked rate-limit reset. Banked rate-limit resets are usable for 30 days after they're granted. Business referrals use separate shared-workspace credit rewards; review the [current terms](https://help.openai.com/en/articles/20001271) before you send an invitation. ## Frequently asked questions ### How much does Sites cost? [Sites](https://learn.chatgpt.com/docs/sites) is included with eligible ChatGPT plans during public beta. Availability depends on your plan, region, and workspace settings. ### 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. Tasks that look similar can consume different amounts of your allowance. Model choice, context, reasoning, tool use, retrieval, and caching all affect usage, so prompt length alone isn't a reliable estimate. Choose the GPT-5.6 model that best fits your work: - **Sol** is the best choice when quality and reasoning depth matter most. Use it for complex analysis, coding, research, and advanced workflows. - **Terra** is the everyday default: strong capability with a better balance of performance and price. - **Luna** is optimized for speed and affordability, making it a good fit for lighter-weight or high-volume workloads.
Local Messages[\*](#shared-limits-plus) / 5h Cloud Tasks[\*](#shared-limits-plus) / 5h Code Reviews / 5h
GPT-5.6 Sol 15-90 Not available Not available
GPT-5.6 Terra 20-110 Not available Not available
GPT-5.6 Luna 50-280 Not available Not available
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
*The usage limits for local messages and cloud tasks share a **five-hour window**. Additional weekly limits may apply.
For Enterprise/Edu users with flexible pricing, 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://learn.chatgpt.com/docs/agent-configuration/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? We want you to be able to complete work already in progress. If you reach your usage limits during an active turn, the agent will be able to continue working on that turn, subject to fair use 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. ### 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`. Check the dashboard every week or two to understand your pace and remaining capacity. If usage is higher than expected, consider whether a smaller model or tighter task scope would still produce a useful result. ### What are tokens and credits? Tokens are small units of information that ChatGPT reads and writes. Your prompt, files, conversation history, tool results, and ChatGPT's response all use tokens. Credits translate token usage into a simpler unit for tracking and managing consumption. The credit cost varies by model, context, reasoning, and tools. After you reach your included limits, available credits let you continue working. Codex usage is calculated in credits per million input tokens, cached input tokens, and output tokens. [Learn more about tokens](https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them). 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](https://chatgpt.com/contact-sales?utm_internal_source=openai_developers_codex).
Credits per 1M tokens Input Tokens Cached input tokens Output Tokens
GPT-5.6 Sol 250 credits 25 credits 1,500 credits
GPT-5.6 Terra 125 credits 12.50 credits 125 credits
GPT-5.6 Luna 50 credits 5 credits 300 credits
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-Spark research preview
GPT-Image-2 (image) 200 credits 50 credits 750 credits
GPT-Image-2 (text) 125 credits 31.25 credits 250 credits
GPT-5.6 usage averages 5-40 credits per message.
Fast mode consumes credits at a higher rate for supported models. See Speed for rates.
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://learn.chatgpt.com/docs/agent-configuration/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. - **Limit source material.** Provide only relevant files and, when possible, narrow the sources or date range. - **Match the output to the need.** Define the audience, format, and length, and separate required work from optional improvements. - **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://learn.chatgpt.com/docs/agent-configuration/agents-md#layer-project-instructions). - **Limit the number of MCP servers you use.** Every [MCP](https://learn.chatgpt.com/docs/extend/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. For guidance on choosing and scoping tasks, see [Use Work efficiently](https://learn.chatgpt.com/docs/prompting#use-work-efficiently). ## Feature availability
* Feature is currently limited to only specific regions. Check the individual feature documentation to learn more about geo restrictions.
† Some first party plugins are not available.