Perplexity Users Face Sudden Cuts in Usage Limits
Several Perplexity users woke up last week to a big surprise. They discovered that their account limits had dropped sharply. Many people now run out of queries after just a few searches.
This problem affects both free users and paying subscribers. People quickly shared their frustration on Reddit, especially in the r/perplexity_ai community. One user said, “I use GPT and Gemini inside Perplexity, but I make very few queries each week. There is no way I crossed the limit.” Another person added, “Perplexity now stops after a few chats. I wonder what new rules they follow.”
Users Share Widespread Complaints
The subreddit fills with similar stories. People report rate limit cuts between 20 and 80 percent. Moreover, the issue touches users across the world on every tier.
Meanwhile, some users could not find their old threads. Others asked how to delete their data. Many also wondered whether Perplexity still works well for research. In addition, conversations turned to favorite AI chatbots and comparisons with other voice assistants.
Company Explains the Changes
After several days of confusion, Perplexity issued a clear statement. A company spokesperson told Android Authority that some accounts received Pro access through promotional codes. However, the company found cases of fraud and unauthorized resale of those codes. As a result, Perplexity adjusted the limits on affected accounts.
The spokesperson added, “We are working to make the limits clearer for these users. We will help anyone who was impacted by mistake. At the same time, we will continue to enforce our rules against abuse.”
Some Users See Quick Fixes
Fortunately, the changes did not hit everyone permanently. At least one user later reported that their normal limits returned. In another case, a person realized they were accidentally using the Computer feature, which caused a low-credit warning.
Perplexity has not yet shared the exact number of affected accounts. Still, the company promises to support users who believe they faced an error.
This situation shows how companies balance fair access with protection against misuse. Users now wait to see clearer rules and smoother experiences ahead.