Credit Usage: AI Chats

Hi I recently checked my Credit usage history and noticed that even after the new updates of credit usage mine 1000 credits used just to check keyword ranking of around 300 keywords. Is this a bug or what, With history analytics i see more than 80-90 % of credits consumed is by the ai chats!

Hi, we’ve looked into your credit usage and sent a detailed explanation to your email. Please check your inbox.

Short version: the credits were consumed by AI chat using the Claude Opus model (the most expensive one). It’s not a bug β€” but you can switch to a more affordable model like MiniMax for routine tasks to save credits significantly.

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Is there any approximate guidance on credit usage / consumption?

Hi @Alex ,

Great question! Here’s a rough breakdown of how credits are typically consumed across different features:

  • Automations β€” Running automations does not consume credits. The one exception is the AI Generate action β€” if your automation uses it, that will be charged based on credit usage.

  • AI Chat β€” A few credits for a simple Q&A. Building automations or doing deeper data analysis can range from dozens to hundreds of credits depending on scope.

  • AI Fields (Text/Reasoning) β€” Depends on the model and token length. You can select models per field task via Model Picker β†’ More Models at official provider cost. For example, Grok 4.1 Fast Reasoning runs at ~20 credits per 1M tokens β€” meaning 1,000 credits could support roughly ~10,000 AI field generations (order-of-magnitude estimate; actual usage varies by token length).

  • AI Fields (Images) β€” Image generation is generally more expensive than text. A model like NanoBanana Pro may cost ~20 credits per image depending on quality settings.

  • App Builder β€” Credit usage varies by complexity. For tips on getting the most out of App Builder, check out our App Builder Best Practices guide.

Hope this gives you a clearer picture! Let us know if you have any questions.

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