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  "path": "/t/purchased-1000-credits-gone-in-under-an-hour/1378847#post_2",
  "publishedAt": "2026-04-13T02:54:40.000Z",
  "site": "https://community.openai.com",
  "tags": [
    "Updated 3 days ago",
    "here"
  ],
  "textContent": "OpenAI changed the pricing and usage in ChatGPT for Codex credits - still with an unclear and unpublished amount that you get included with a subscription. It is now a direct consumption from your balance based on token usage, at the same pricing you’d get if using the API.\n\nWith: the disadvantage that you are forced to buy large increments, only useful in ChatGPT for Codex, virtually ensuring breakage (purchased but unused credits kept by OpenAI). The mapping of “credits” to the value of them is also highly-obfuscated.\n\n* * *\n\nUpdated 3 days ago\n\nCodex usage is priced based on **API token usage,** calculated as credits per million input tokens, cached input tokens and output tokens. Learn more about tokens here.\n\nThis format replaces average per-message estimates with a direct mapping between token usage and credits. It is most useful when you want a clearer view of how input, cached input, and output affect credit consumption.\n\nUnder this model, actual credit usage depends on the mix of input, cached input, and output tokens in each task. The table below displays **credits per 1M tokens for each token type.**\n\n**Model** | **Input Tokens** | **Cached input tokens** | **Output Tokens**\n---|---|---|---\nGPT-5.4 | 62.50 credits | 6.250 credits | 375 credits\nGPT-5.4-Mini | 18.75 credits | 1.875 credits | 113 credits\nGPT-5.3-Codex | 43.75 credits | 4.375 credits | 350 credits\nGPT-5.2-Codex | 43.75 credits | 4.375 credits | 350 credits\nGPT-5.2 | 43.75 credits | 4.375 credits | 350 credits\nGPT-5.1-Codex-Max | 31.25 credits | 3.125 credits | 250 credits\nGPT-5.1-Codex-mini | 6.25 credits | 0.625 credits | 50 credits",
  "title": "Purchased 1000 credits, gone in under an hour"
}