These Google improvements will stop Gemini from wasting your usage limit

Now, Google vice president Josh Woodward has responded more directly. post on xAcknowledging that users were facing limits sooner than they should have. He said the company is now implementing a number of improvements designed to make usage more predictable, reduce confusion, and make quotas more consistent across different types of operations.

One of the biggest fixes involves a bug related to omni video generation. In some cases, users were finding that just one or two video signals were eating up a large portion of their quota. For example, someone may be experimenting with shorter clips or testing different styles, only to suddenly notice their allowances drop off more than expected after a few tries. Google says this issue has now been fixed, and it’s also increasing allowances for heavy users. For example, the number of Omni Video generations available to Ultra subscribers is doubling starting immediately.

Another area that caused complaints was Google’s complex 3.1 Pro prompt. These are long, detailed instructions, often involving large file uploads or multi-step logic tasks. These signals were also consuming quota in a way that seemed very aggressive. Google is now changing this by introducing caps per prompt. Instead of one very heavy request potentially draining a large portion of your usage, the system will now limit how much a single signal can consume. The idea is to prevent extreme outliers where one task eats up too much of your monthly allowance.

There’s also a change that users will appreciate in everyday use. Woodward noted that about 1 in 10 requests may fail due to system errors. Before, even failed attempts could count towards your quota, which obviously seemed unfair. It is being repaired now. If a request fails, you will not be charged against your usage. So if Gemini misses the mark while generating a response, that effort is no longer within your reach.

One notable update is that flash-light signals will no longer count towards the quota at all. This effectively turns the flash-light into a free layer for light tasks. It also encourages users to rely on lighter models when they don’t need full logic power, which should help push the limits of higher tiers even further.

Google is also working on more detailed descriptions and information for deeper research use. These are more compute-heavy tasks where Gemini processes large inputs or runs multi-step analyses. Many users currently have little knowledge of why their quota drops faster on some days than on others. The goal is to make this more clear, so that users can actually see which types of tasks are expensive and which are not.

Finally, there is a useful improvement in how model selection works. Once you select a specific model inside Gemini, the app will remember it throughout the session. So if you prefer a particular writing or research setup, you won’t need to select it every time you open the app. The only exception is when you exceed the usage limit, in which case the system may automatically switch to a lighter model to keep things running.

These changes definitely feel like Google is trying to streamline a system that had become inconsistent for many users. The limitations are still there, but the company is clearly trying to make them feel more logical. It remains to be seen whether this completely fixes the frustration, but at least the direction now seems more user-friendly than opaque.