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Home » You can now use Gemini’s Thinking model without worrying about Pro model limits
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You can now use Gemini’s Thinking model without worrying about Pro model limits

By technologistmag.com15 January 20262 Mins Read
You can now use Gemini’s Thinking model without worrying about Pro model limits
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You can now use Gemini’s Thinking model without worrying about Pro model limits

Google has quietly reworked Gemini‘s usage limits, splitting the shared pool and boosting the individual caps for the Thinking and Pro models. At launch, both models had the same daily quota, meaning every prompt used for complex reasoning or advanced math and code counted against a single limit. But that’s no longer the case.

According to 9to5Google, Google has now split the useage limits, giving each model its own separate allowance. For subscribers on the Google AI Pro plan, the Thinking model now has a limit of 300 prompts per day, while the Pro model remains capped at 100 prompts daily. On the Google AI Ultra plan, these numbers jump to 1,500 Thinking and 500 Pro prompts per day. Users on the free tier still have access to both models, though Google simply labels it as “Basic access – daily limits may change frequently” on its support page.

Thanks to this change, users will no longer have to agonize over whether trying to solve a complex reasoning problem will eat into their ability to generate code or solve math equations. The Thinking model, which is best suited for complex problems, and the Pro model, which is meant for advanced math and code, will now have dedicated quotas. For anyone who’s felt constrained by the shared quota during extended sessions, this should offer some breathing room.

This move reflects Google’s ongoing balancing act between high demand and available bandwidth. Gemini 3 has proven immensly popular, and Google has already been tinkering with free-tier access, occasionally tightening image generation and prompt counts when load spikes. With the increased caps, however, users on the Pro and Ultra plans should see more predictable access and fewer interruptions during intensive use.

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