I’ve been using AI Studio and Gemini for almost a year, and throughout 2025, I was able to use Gemini 2.5 Pro without too many problems. The model performed well; there were a few drawbacks, but they were minor. The arrival of Gemini 3 was exciting because I believe a model can only improve by incrementally increasing its features, not by boosting some aspects while sacrificing others. Yet, that’s exactly what happened with Gemini 3.
My use case:
- I primarily use AI Studio and Gemini for writing, YouTube scripts, articles, reports, but also for casual conversations like providing technical support for Linux, etc.
- I don’t code and I rarely use Vibe Coding; the only times I use Gemini 3’s coding capabilities are for shell scripts.
- Gemini 2.5 Pro wasn’t 100% accurate in its writing, but it was good at 90%.
And regarding Gemini 3 :
First of all, since Gemini 3 “thinks” differently, with a very strong emphasis on synthesis, I had to rewrite all my system instructions/meta prompts. I had spent months refining these meta prompts for Gemini 2.5 Pro, and I lost 10 days redoing them. On the surface, Gemini 3 does the job, but it’s disastrous because it’s inconsistent. One of Gemini 2.5 Pro’s major strengths is its handling of long contexts. Even in a conversation with 50 messages and replies, Gemini 2.5 Pro managed to keep up.
With Gemini 3, it’s not that it has the memory of a goldfish, but it’s very inconsistent. Sometimes it remembers, sometimes it doesn’t even understand what was said two messages ago. For my main task of writing, where the scripts are long and complex, it’s really mediocre. Then there’s the quality and creativity of the writing. Here again, it’s very inconsistent. Sometimes it works well, sometimes I feel like I’m seeing replies from ChatGPT December 2022!
The technical support has also declined in quality. With Gemini 2.5 Pro, I was able to solve complex problems on Linux, and one of the advantages of using AI for technical support is that you can get a truly customized solution. Sometimes I get mundane responses, but mostly, it veers into hallucinations that could damage my system if I don’t detect them in time. Many users, especially these days, use AI for technical support, and Gemini 3 is really bad.
So, in all my daily uses, Gemini 3 has declined in performance, long-term memory usage, and handling of complex problems. I get the impression that the model was boosted primarily for “vibe coding,” but not everyone codes. I’ve always liked AI Studio, the free version, and the customization options, but with such inconsistency, it’s not really worth integrating into a workflow. If you have to completely renew and modify the workflow for each new model, it’s a considerable waste of time.