Gemini app now has 950 Million MAU and is served in 70 languages globally.

90% of Fortune 100 use Gemini as their primary work model.

Gemini holds the highest market share in text and pretty much owns the market for inage generation yet some random folks on this sub claim that no one uses Gemini

Source: Openrouter

https://openrouter.ai/rankings/image?view=month

Early testing, but I have noticed 3.6 Flash does not attempt to placate me. Gone are the "That's an incredibly insightful question..." and "You have an eagle eye..." responses. It's quite refreshing. 3.6 responses are very terse, like "Just the Facts Ma'am" ...and if you're under 40, that went right over your head.

I bet this minor change is saving a lot of output tokens.

I was looking at a model showdown benchmark from AIHubMix on GitHub.

The setup is straightforward: same prompt, one shot, real generated HTML artifacts, and no manual cleanup. The round I focused on was the "Global View" task: build a live-data 3D flight/logistics dashboard with a dark globe, day/night terminator, atmosphere, glowing flight arcs, glassmorphic stat cards, orbit/zoom controls, and an auto-demo style experience.

The four models in this round were:

• Kimi K3
• GPT-5.6 Sol
• Claude Fable 5
• Gemini 3.6 Flash

My subjective impressions after opening the generated HTML outputs:

Kimi K3

This felt like the best overall balance. It generated a complete dashboard with a 3D globe, flight arcs, labels, statistics cards, an activity table, a risk panel, 3D/2D toggles, and interactive controls. While it wasn't quite as visually refined as the strongest-looking output, it followed the prompt very well and felt like something you could genuinely build upon.

GPT-5.6 Sol

This was the most polished visually. The composition, glassmorphism, copywriting, route visualization, and overall SaaS-style presentation looked the closest to a production-ready landing dashboard. If visual presentation is the main priority, this was my favorite.

Claude Fable 5

Claude produced a strong result with a large globe, detailed logistics tables, operational statistics, and a richer information layout. It followed the prompt well, although I personally found the overall visual presentation a little less refined than GPT's.

Gemini 3.6 Flash

Gemini generated a functional dashboard with a globe, statistics, activity data, and controls. It completed the task, but compared with the others the layout felt more minimal and the overall presentation wasn't as visually rich.

My personal ranking for this benchmark:

• Best visual polish: GPT-5.6 Sol
• Best overall balance: Kimi K3
• Most detailed alternative: Claude Fable 5
• Most lightweight implementation: Gemini 3.6 Flash

The interesting part is that there isn't a single "winner." It depends on what matters most. If you're optimizing for first-shot visual quality, GPT stood out to me. If you're looking for a strong balance between completeness and overall efficiency, Kimi K3 was the most interesting result. Claude delivered a solid middle ground, while Gemini offered a simpler but still functional implementation.

My takeaway:

When comparing one-shot HTML or app-generation benchmarks, it's useful to evaluate more than just aesthetics. Completeness, prompt adherence, implementation quality, and overall efficiency can matter just as much as visual polish, especially for workflows where you'll iterate multiple times.

Curious which output everyone else would pick after looking through the generated artifacts.

This is embarrassing to google, but no worries wait guys Google will comeback soon cuz I love google and have faith on then (Google Deepmind)

This is not the first time I'm seeing it...

i honestly dont have much to say, but i noticed that this agent rarely hallucinate, and i also came to conclusion that it might have a hidden dedicated memory for persona, role, permission, bcs i noticed that it never forget these things even after our the the conversation became so so massive(more than 10 million tokens) in my workflow i mainly use flahs models to generate plans, prompts at a high level language, then have these markdown files passed to opus to translate it to low level(technical), and then have it passed again to gemini 3.6 flash.

what are ur opinions on it so far?. anyways, we still want gemini 3.5 pro. google, we didn't forget!

I asked for the benchmarks (reasoning) of the latest models from different AI families and it gave me an outdated data.

It's a new conversation as well. Funny how 3.6 Flash is the latest model and was advertised as something that is better compared to previous models, but failed on a simple task.

Hey everyone,

If you let the model focus purely on design, it is fast and cheap and allows super fast iterations, this whole test took about 0.28 credits while generating ui for a full app you see the video posted is in realtime generating a Flutter project

I also tested compared to Gemini Flash 3.6 created better results out of the box (see the image) but took about 3.09 credits and longer time what do you think?

https://reddit.com/link/1v39e6d/video/y5dguipwjqeh1/player

Google just released Gemini 3.6 Flash while many people were expecting Gemini 3.5 Pro to arrive and compete with models like Claude and Kimi.

I've been testing Gemini 3.6 Flash, and so far I haven't noticed the improvement I expected. In my personal tests, it sometimes feels worse than Gemini 3.5 Flash, which was one of the strongest lightweight models I've used.

I understand that 3.6 Flash may be focused more on efficiency and agentic workflows rather than a huge jump in raw intelligence. However, I'm curious about other people's experiences.

Has anyone seriously compared Gemini 3.5 Flash and 3.6 Flash?

Is 3.6 Flash better for coding, reasoning, or multimodal tasks?

Are there any areas where it clearly improves over 3.5 Flash?

Or does 3.5 Flash still perform better for many use cases?

I'd like to hear real-world experiences and benchmark results.

Glad I can help train the new model.

So if anyone still isnt aware of this at this point, after briefly claiming the knowledge cut off time is March 2026, google changed the time to Unknown in aistudio

This is quite weird for me, what could possibly be the reason behind this?

Put your (wild) guesses here ;)

Google's a multi-trillion dollar company btw

P.S. I tried 3.6-flash, it's mid, not too much difference spotted from 3.5-flash but it works

Everyone says "the hallucinations are terrible," but what kind of questions do you ask and what kind of replies do you get that make you feel that way?

For me, I feel it most strongly after giving long instructions or iterating on responses to develop an implementation plan, when I realize it has forgotten the instructions I gave at the beginning. Also, at the start of a project, it follows the rules or the GEMINI.md file faithfully, but as the conversation continues, it gradually becomes neglectful. For example, if I include an instruction like "do not touch parts not in the implementation plan," it will initially reply with something like "As instructed, I have not modified any parts not listed in the implementation plan." However, after several rounds of implementation, it eventually starts making unrequested modifications on its own.

I had google AI look up my username. It brought up some specific posts, detailed even and, I asked it to read my personality based on posts and comments. My history's hidden, and I thought I was safe. Nah.

AI pulled everything up and broke down my thinking style, my vibe, even guessed my age. And it did me dirty, haha. Anyways, surreal...

A random (or not so random?) person messaged me out of nowhere asking whats my story (if you're reading this, hello strange guy that likes superheroes and MMA), so I looked him up.... It didn't ring a bell, but it got me curious about what my own profile says about me.

Seeing it laid out made me realize that this account is a few years old so it's a bit sad to let it go but it's a known username so some people know me by it, and I'm not vibing with that...

So, this is my last comment here. Saying goodbye to this account, a new start awaits..!

I don't know what you guys think but Gemini is literally the GOAT.

So I was just trying to generate every single two letter combination of the alphabet, as you can see in the video. I tried it multiple times and every time it starts doing it, but then this error message occurs. Can someone explain to me why?

Edit: also tried it on ChatGPT and it worked perfectly fine there.

Google, what are you doing?

EDIT: I want to clarify something because, although it seemed obvious to me, many people seem to have missed the point. My post wasn't intended as a critique of the capabilities or performance of Gemini 3.6, which I haven't even had the chance to test yet.

I simply wanted to verify whether its internal knowledge had actually been updated to March 2026 as google stated in AI studio. This is why I ran the test without web search enabled; even Gemini 3.1, despite its January 2025 cut-off, can answer correctly if it can browse the web.

EDIT 2: This is in response to everyone who commented on the post claiming I was wrong and that LLMs don't work that way.
If that's the case, explain why Google has just updated the model card on AI Studio, changing the knowledge cutoff from March 2026 to "unknown".
Funny that, isn't it?

i was making a datapack for minecraft and at first it just gave me this download button and it worked perfectly fine but now every time no matter how i ask i tried everything it only gives me a link like this https://www.google.com/search?q=data:application/zip%3Bbase64,UEsDBBQACAgIAPa6UlkAAAAAAAAAAAAAAAAJABAAIEZlbGl4c19RdWFsaXR5X29mX0xpZmVfcGFja19GaXhlZC9QSwECFAAUAAgICAD2ulJZAAAAAAAAAAAAAAAAJAAPAAAAAAAAAAAAgAAAAABGZWxpeHNfUXVhbGl0eV9vZl9MaWZlX3BhY2tfRml4ZWQvUEsFBgAAAAABAAEANgAAAFMAAAAAAA%3D%3D
and i dont know how to get it to give me that perfectly working download button cause on other times gemini also just says it can't do that while it littarly did that 4 minutes before saying that idk what to do anymore its just so anoying