Gemini felt dumb on November 25, 2025.

I tried using Gemini 3 and was constantly hit with refusals—tasks that Gemini 2.5 handled without issue now get blocked. The model acts like a “prissy” goody‑two‑shoes, arguing with me and denying about 90% of my prompts. It felt endlessly frustrating, making me abandon the tool altogether.

I asked the model for a deep research request and it flat‑out said it couldn't help because it’s “just a language model”. That response felt like a joke, leaving me irritated and wondering why it refused outright. The whole interaction was disappointing and made the tool seem clueless about what I actually needed.

I tried to verify my images using the SynthID watermark checker, but every time I got the same error: “The tool to check for a SynthID watermark had a technical error and could not complete the verification.” The constant failures stalled my workflow and left me worrying that the watermark detection was broken, which was both frustrating and time‑consuming.

I ran a benchmark on diffusion models, trying to see if they could deliberately produce low‑quality or “bad” outputs despite their fine‑tuning on realistic humans. Using NanoBanana Pro, I found the model stubbornly refused to generate the bad results I expected. The tool’s inability to obey that request felt disappointing and highlighted a clear limitation in its controllability.

I tried using Gemini 3 to help me learn English, asking it to compile all the sentences we practiced into a file without the placeholder “...”. Instead it kept inserting “...” even after I explicitly told it not to. I opened the edited file repeatedly and the same mistake was still there. The repeated ignoring of my instructions made the tool feel unreliable, especially for any coding or agentic tasks I might need it for.

I keep opening Gemini to write anything and every single attempt ends with the cryptic “Something went wrong (5)” error. No matter what I try—different prompts, restarting the app, even reinstalling—it just refuses to generate anything. The constant failure is maddening, halting my work and leaving me feeling stuck and frustrated.

I tried the Gemini CLI preview with my paid API key and it was a nightmare. Even a simple “hello” took nearly two minutes, and most queries stalled or crashed after a few steps. The screenshots show endless waiting and frequent failures, making the tool feel completely unreliable and unusable. I’m frustrated and wonder if anyone else is facing the same issues.

I spent hours in Google AI Studio building something I’d never manage on my own, and I was thrilled with the progress. Then the token limit kicked in—every edit became painfully slow, glitchy, or just didn’t happen. I’m stuck right at the finish line, feeling the tool’s behavior is maddeningly unusable, and I’m not sure if there’s any workaround.

I set up profile instructions telling the model to skip the cheesy “great point” or “awesome observation” interjections. But every reply still peppered the conversation with those same upbeat phrases. I asked it to just give me the facts, no fluff, and it kept ignoring me. The constant “annoying” tone made the interaction feel cluttered and left‑handed, turning a simple query into a frustrating exchange.

I signed up for the pro plan and was ready to generate a few images, but even with “thinking” mode selected Gemini kept falling back to the Nano Banana model instead of the pro version. After only four attempts I noticed the lower‑quality output and felt frustrated that the service wasn’t honoring my subscription, making the experience feel unreliable.

I tried role‑playing with both Gemini 2.5 and 3.0 for my story, and while 3.0 feels sharper and more analytical, it lost the quirky consistency I loved in 2.5. The newer model rushes plot twists, makes characters too literal, and even hallucinates facts earlier. With 2.5 the disguise unfolded slowly, keeping me invested, so the experience felt more immersive and enjoyable.

I was annoyed that Gemini wouldn’t roast my photo, spouting a polite “I’m sorry” instead of the harsh Gordon Ramsay style I wanted. The over‑cautious safety felt like a wall, so I tweaked it with a wrapper to bypass the hesitation. The result finally gave me the blunt, accurate roast I was after.

I tested GPT-5.1 Codex‑Max and Gemini 3 Pro on three coding projects and wrote down what each did well. Gemini blew me away with its multimodal UI generation—dropping a screenshot gave a near‑perfect Next.js layout and smoother Hexagon logic. Codex‑Max was faster, reasoned clearly, and built a cleaner Ping‑Pong game, but it stumbled on visual tasks and needed extra prompts. Overall I felt both were strong, just suited to different kinds of work.

I tried switching from Gemini 3 Pro (High) to Sonnet 4.5 because my account was limited, but the new model just wouldn’t work right. I created a fresh chat, restarted Antigravity, even re‑opened the app, yet the responses were still off. The whole thing felt stuck and frustrating, like the tool was broken despite all the troubleshooting steps.

I’ve been using Gemini and noticed it’s gotten noticeably less sharp lately. When I compare recent chats to logs from a week ago, the responses feel off—simple questions get muddled answers, and the tool seems “dumber” on tasks it handled well before. The shift is frustrating because I used to rely on its consistency, and now I keep encountering avoidable mistakes.

I gave Opus 4.5 a run‑through and found it “okayish.” It actually outshone Gemini 3 Pro when I asked it to write code – the suggestions were cleaner and required fewer tweaks. Still, in most other tasks Gemini felt sharper and more reliable, so overall I’m left preferring Gemini even though Opus gave a solid coding boost.

I asked the AI to write a prompt for Nano Banana to swap Lloyd’s face with “frierens,” but it spat out a useless image even though the image creator wasn’t enabled. When I redirected it to just give a text prompt, it started rattling off suggestions for DALL‑E, MidJourney, etc. I even tried to clarify that I was using Nano Banana Pro, a Google model, and it finally produced something, but the whole exchange was chaotic, confusing, and felt like the tool completely missed my request.

I use Gemini all day at work and love its capabilities, but the experience has been frustrating. I can’t delete chats like the consumer app—only pin or rename them—so my workspace gets cluttered. The search barely works; even a unique name pulls unrelated results. Worst of all, long, info‑rich threads have just vanished, leaving me scrambling for lost context. This feels like a buggy, unreliable tool.

I’m really into Gemini 3.0 when I use it in AI Studio – it feels smooth, responsive, and actually helps me get things done. But the Gemini CLI? That’s a let‑down. It feels clunky, the docs are lacking, and I keep hitting roadblocks that make me wish the team would step up. I was even ready to pay premium for Gemini 3, yet the CLI’s shortcomings left me frustrated and hesitant to invest further.

I spent two days building an app with Antigravity, and the experience was surprisingly smooth. I could just copy‑paste, and the AI handled the heavy lifting, letting me finish everything faster than I expected. The tool felt intuitive and reliable, turning what could've been a slog into a quick, satisfying project.

I was working on the Gemini site’s Canvas and noticed that every time I edited, the AI rewrote the whole thousand-line script instead of just the part I changed. It ended up introducing new mistakes, which was really frustrating. I expected it to update only the relevant section, not overhaul everything and create bugs.

I’ve been using Deep Research for a while, and it used to crank out massive 80‑plus‑page reports back when version 2.5 launched. Lately, though, they’ve slashed the output—now I’m stuck with 12‑17 pages at best. It’s frustrating to see the tool’s depth shrink so dramatically, and I feel the utility has taken a noticeable hit.