Google Releases Gemini 3 Deep Think Model
Google Releases Gemini 3 Deep Think Model
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Google changes free access limits for Thinking With Gemini 3 Pro AI Model after facing very heavy demand across many regions. The company updated daily rules for free users using Thinking mode, image generation tools, and NotebookLM features.

These changes follow rapid growth in AI usage worldwide. Google also shared updates explaining dynamic limits and temporary rollbacks across key tools.

Key Takeaways:

  • Google removed fixed daily limits and introduced dynamic, token-based usage rules for free Gemini 3 Pro “Thinking” mode.
  • Free image generation is reduced, and NotebookLM features like Infographics and Slide Decks are temporarily restricted due to high demand.
  • Google says limits will change frequently, and normal access will return once system capacity improves.

Google Changes Free Access Limits for Thinking With Gemini 3 Pro AI Model

Google first allowed free users five daily prompts. These matched older Gemini 2.5 Pro usage limits. Free users also received three Nano Banana Pro images daily. These images included generation and editing support inside the system.

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Google recently removed fixed numbers for free access. The support page now shows basic access for users. It also says daily limits may change frequently now. This update was spotted by 9to5Google earlier this week. However, these changes are not visible in India currently.

Google also changed Nano Banana Pro image access rules. Free users now receive only two images daily. Google mentions high demand for image tools today. It notes that limits may change frequently again. These image limits also reset automatically every day.

NotebookLM was updated with additional restrictions this week. The platform temporarily removed Infographics and Slide Decks for free users. New limits were also added for Google AI Pro subscribers. Google says capacity issues created these temporary changes.

How the New Limits Work Across Thinking Mode

These new limits do not count user prompts directly. Google now uses token systems for daily usage counts. Tokens represent broken pieces of language text. Simple prompts use fewer tokens than complex prompts today.

This means a user may send many simple prompts. However, the same user may send fewer complex prompts.

This is because complex prompts use more system power. The dynamic nature allows Google to control demand levels easily.

Important points about token-based limits

  • Tokens decide actual daily usage now.
  • Complex questions consume many tokens quickly.
  • Simple questions allow for more daily interactions.
  • Limits depend on the computing power required.

Google explained that these changes follow growing AI demand. The company wants fair service for all users today. It also wants stable performance during high-traffic hours.

NotebookLM Features Rollback After Heavy Global Demand

NotebookLM recently introduced advanced Infographics creation tools. These create high-quality visual summaries from user sources. Users can choose portrait, landscape, or square layouts.

They can select concise, standard, or detailed design modes. A prompt box allows color, focus, and style adjustments.

Slide Decks help users make simple presentation decks easily. Presenter Slides show key talking points for speakers. Detailed Decks include full text for reading alone.

All these features received heavy early usage worldwide. This caused high-capacity load across NotebookLM systems.

Google says these tools will return soon. The company wants to restore full access when capacity improves. Paid Google AI Pro and Ultra users remain unaffected in the Gemini app.

The End Note

Google changes free access limits for Thinking With Gemini 3 Pro AI Model because demand has increased across every major feature. Free users now face dynamic limits for the Thinking mode, images, and NotebookLM tools.

Google rolled back some features temporarily to solve capacity problems. The company says it will restore normal access soon. These updates ensure stable performance for all users worldwide.

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