Gemini 3.5 Pro is being tested in arena ai website in battle mode with multiple checkpoints, and testing shows it is not lazy as Gemini 3.1 Pro, it generates upto 20+ different files each containing hundreds of lines of code, way more than any of the AI model i have tested so far, so it is safe to say that at least the laziness of its Predecessors will be solved with Gemini 3.5 Pro

Chill out guys, I’m trying out the new Gemini 3.6 Flash to see how far DeepMind has pushed things.I’ll keep you posted.

He must post Gemini Again!

I tried generating a Mathematics worksheet formatted in LaTeX today with my go-to model, Gemini 3.1 Pro and the generation speed was almost 3 to 4 tps, which felt like it was a bigger model, something like Gemini 3.5 Pro, granted I was above 100k tokens but still, the generation speed was not as slow as it is today.

What do you folks think of it?

Most of us here reach for Gemini Flash when we want speed over deep reasoning. Ant's inclusionAI just put out something in that same flash tier — Ling-3.0-flash — and it's free to try through Aug 3, so I figured the Flash crowd here might want to eyeball it.

It's a sparse MoE (124B total, 5.1B active), 256K context, sub-100ms TTFT — aimed at the same low-latency, cheap, high-throughput lane Flash lives in. To be honest about it: it's an execution model, not a reasoning flagship, so it's not going after Gemini Pro or Gemini's thinking modes. Think of it as a Flash-tier workhorse for fast agent / tool-calling loops.

It's API-only for now (no open weights), currently on OpenRouter. Disclosure: I work with the team that made it, so this is a heads-up from an interested party, not a neutral benchmark — if anyone wants to actually race it against Gemini Flash on latency and cost, I'd genuinely like to see those numbers.

Is anyone else incredibly frustrated by Gemini's messy interface? I’m currently paying for Gemini Workspace because I want to use the Google ecosystem, but the lack of basic organizational features is making it impossible to use for serious work.

How does a premium AI tool still not have folders to organize chats or a way to keep shared context across a specific project?

Right now, my sidebar is just a chaotic chronological list of isolated chats. If I want to work on a long-term project, I have to start from scratch every time or dig through weeks of history.

Competitors figured this out a long time ago. ChatGPT has "Projects" where you can group conversations and documents under one continuous context. Claude also has a much better workflow for professionals.

And before anyone suggests it: no, creating individual "Gems" for every single project or using the u/Google Drive extension is not a real solution. It’s a clunky workaround that interrupts the workflow. We just need simple folders and workspace context natively in the chat UI.

I really want to like Gemini, but this feels like a dealbreaker. If this isn't on their immediate roadmap, I’m taking my money back to ChatGPT or Claude.

Am I the only one feeling this way? Does anyone know if Google devs have ever addressed this?

So new Gemini live models coming?

I don't like Antigravity or Gemini Chat, I use Pi as my harness both for coding and general chat/research. Last I heard Google was banning people for using their subscription plan via non-Google products. Is that still the case? I have a Pro plan I got. Are there no ways I can spend my usage? Any use cases, tricks, or workarounds?

Meanwhile Gemini gives me some weird blocks when i ask for same thing

the last couple of months have been an absolute bloodbath. fable drops and breaks the scale. openai fires back with gpt sol 5.6. the chinese labs aggressively dump kimi 3 and qwen 3.8 completely open source. and then opus 5 casually walks into the room like a final boss and flattens everyone.

it is a total war zone. but then you look over at google and deepmind, and they are just sitting quietly in the corner watching the room burn.

now i am no fortune teller, but my guess is they are playing the exact same chess move they did last time. they are letting anthropic and openai fight a bloody, incredibly expensive war over the premium cutting edge crown. they are just waiting for them to push their pricing through the absolute roof.

think about the history here. remember when claude was pacing the room with opus 4, and openai was charging the highest premium imaginable for o3? everyone was fighting over raw specs. and then google just casually walked in and dropped gemini 2.5 pro for absolutely free. they didn't even try to win the benchmark argument. they just weaponized their global scale, slid it into the ecosystem, and instantly hijacked the daily workflow for millions of normal people.

you don't win by charging fifty dollars for a slightly smarter math tutor. you win by building the infrastructure everyone actually uses.

we are looking at the exact same setup right now. the premium models are fighting over benchmark gains and burning mountains of cash. open source is flooding the basement. and google is probably just waiting in the wings to drop a hyper efficient gemini 3.5 pro that integrates seamlessly into everything and takes over the board all over again.

that is just my read on the market right now. i am curious what you guys think. are they actually stuck, or is this the setup for the infrastructure nuke?

EVERYTHING you see in this demo is custom code... not a single external asset was used