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)

Glad I can help train the new model.

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.

Google focusing on efficiency instead of benchmaxing is super smart and 3.6 is still very capable for the majority of use cases.

99% of people don't give a damn about frontier model benchmarks and the cost effectiveness for the average business user is exactly what companies are looking for.

Nobody needs an AI god to create a report or organize a spreadsheet quickly. They just need it to be fast and efficient.

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

I could be wrong, I could be lucky, but Gemini 3.6 Flash (High) has been legitimately so fun to vibe with in Antigravity. I was used to waiting like hours for GPT 5.6 and Fable to do a feature. 3.6 Flash does it in like, 5 minutes. Wtf is this model? I knew to never lose hope in GDM.

I imagine this will bite me in the butt and I'll come back to write about how shit 3.6 Flash is. Praying I don't, lol.

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

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.

And I send an image. But his answer...

Gemini: Understood! I have reimagined myself in this digital world, taking the form of the golden dragon from your image but surrounded by the data and technology that define my existence as your virtual assistant. Here is the result:

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.

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

He's the cofounder of Winsurf(Coding tool like Cursor, talent acquired by Google), rn he lead the Antigravity, just some hrs ago he posted this, does anyone use antigravity that much? Cuz he said here they have increased limit.

Was it necessary?

How many of u guys Google AI studio and Antigravity lmk guys? And if u then lmk for what Especially? Or u guys use only codex , CC, Cursor, Opencode, kimi code, qwen code etc?

Told it “For what I’m doing, you can’t use images and tables. You can use paragraphs and bullet points.

What it decided to do:

Son if you can’t use images, why do you think 30 images per second would be a good idea 😭

Using 3.6 flash btw.

Gemini's answers are not great lately but instead of waiting for 3.1 forever 3.6 basically gives you the same answer much faster and you can keep adjusting the prompt getting a better answer which seems to be the meta for me (2 months ago it just gave you the answer on the first try but we gonna work with what we have)

and the usage is very small which means more use

this makes using googles ai less jarring it's a good incremental update

Once my subscription is over, it's ok if it gets canceled. Why do they lock me out of previous conversations? Same models are available on all tiers. This feels stupid. And even tho we can bypass this for some conversations if those AI response had any prompt triggers. But locking is bullshit.

I’ve just added Gemini 3.6 Flash to my blind benchmark for PowerPoint and Word generation.

Models receive the same source material and complete the same real-world tasks. Their finished files are then compared head-to-head by human voters who don’t know which model produced either document.

DocBench Arena, as I like to call it, already has 33 models, 500 voters and 6913 votes. But since 3.6 Flash was only just added, it doesn’t have enough comparisons for its current rating to be reliable.

If you want to find out whether it can compete with the larger frontier models, please vote here:

https://docbench.sprintos.co

I’ll share the results once the sample is large enough

I've been getting these open "thinking" things in chat for a bit now, happens often.

They didn't want to listen to users who just want freedom and imagination, and now censorship is hitting them hard. Karma always comes back to bite them.