How powerful is Gemini 3.5 Flash? In a recent research preview, we pushed it to the extreme, powering 93 subagents across 15,314 model calls that wrote a custom kernel, filesystem, and drivers from scratch. 12 hours later, it booted Doom. 🖥️ This is just a glimpse of the model's... reasoning depth and code generation capabilities. Full breakdown below 👇show more

Please don’t it’s really not that powerful. Stop with fake marketing. I am really disappointed with Gemini models. And I loved them earlier

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Watch Antigravity boot up Doom live

Gemini 3 flash was excellent because it was very reliable as a conversational agent and affordable enough to use it as one. 3.5 is so expensive it prices out this use case and still lacks the agentic coding capabilities of frontier models. It’s poorly positioned.

試した限りはポンコツですね

I really love it.... The only concern is model limit. 3x limits are done in within 1 hours...

I’ll stick with Opus I think

Can ya all make it token efficient? Or increase agy rate limits? Its practically impossible to do anything even with the paid plan

I think I speak for all of us when I say I am glad YOU guys like it.. and I wish we could enjoy it as much as you.

15314 model calls to boot a game from 1993 is the most expensive way to play doom ever.

Yeah... but also talk about how much quota they drain though 😂 –can barely work 1 hr 💀

I don't know about this, but it couldn't even build a functioning web ui for me. Had to fall back on 3.1 Pro for everything.

Digital-twin built with @antigravity @GoogleAIStudio and @GeminiApp

I'am so impressed with it that i have cancelled my subscription.

Unfortunately, with the latest release, and quota calculation,I could not complete a 5-hour session with any of the models in an ultra subscription. Cancelled subscription, went with codex, problem solved

git clone Done with one tool call.

Gemini 3.5 it's bullshit! At least when we talk about code!

I see moments of genius in Gemini models, but it is fleeting, feels like the training data isn't uncleaned, and the models glitch hard, or that the harness is (metaphorically) unstable. You guys and gals got all that compute. Stabilize Anti-Gravity.

This is a massive validation for high-throughput, cost-effective models like Gemini 3.5 Flash acting as the runtime for complex agent swarms. Orchestrating 93 subagents across 15k+ model calls to build a functional kernel from scratch proves that orchestration layers and asynchronous parallel execution loops are becoming more critical than just raw parameter size. Phenomenal showcase.

93 agents coordinating system code is the real flex here. Token spend had to be brutal - that's what'll make or break agent orchestration in production.

Honestly, what is the point if almost nobody can actually use it? I have a paid plan and I still keep hitting quotas constantly. Sometimes I have to wait 5 hours to continue a simple thing. There’s no clear explanation about quota, what is the 5-hour limit or week.

That's cool but nobody can do that even Ith the most expensive subscription. So don't advertise this

Key Antigravity probs: 1) WTF no subagents in IDE ver? BS! 2) New cloud model lims shock: $200 sub burned wkly lims in 1d (easier get Claude Code $20 same lims) 3) add Opus 4.8!!!

Flash 3.5 is great model. Please keep Google in this direction. Fast, smart and cheap. Make it smarter and cheaper

My @Google Always Cooks best 🫶🏻❤️ @antigravity gemini 3.5 flash 10/10

INCREASE THE QUOTA LIMIT!!!

Nah Gemini is a garbage now. You guys lose ai race lol.

ClaudeもGPTも制限がきついのはわかる 他社へ支払いが発生するもんね でもさ GeminiのQuota制限が厳しすぎて使えないよ… Ai Proなのに全然作業が進まないよ😭

It's super fast in response but super erroneous in making answers

Do you guys even use your own antigravy and 3.5 flash? Oh maybe you guys dont use codex or claude...time to get out of your own bubble

Come on, r/osdev gets new vibe-coded OSes posted literally almost daily, any frontier Claude/GPT model is capable of that, and far more than just shell + DOOM.

Booting Doom from 93 subagents writing a kernel from scratch is an absurd flex in the best way. The orchestration overhead at that scale is the wild part.

As much as I love Google, but your models have the worst tool calling capability ever. None of your models know how to use tools, specially using Aisdk

I’ve been having a great experience so far with Antigravity and Gemini 3.5 Flash (Medium). The most natural language AI tool I’ve used so far. More natural than Claude Desktop/Code, Grok build, and GitHub Copilot CLI. Excited for 3.5 Pro!

As a developer working on complex health-tech applications, I depend on model stability. What you see in the video is a total breakdown of context management. It’s not just an error; it’s a complete drift from the user’s intent. We are talking about an advanced model that suddenly hallucinates unrelated code blocks instead of processing the provided logic. This needs an urgent root-cause analysis. @GoogleDeepMind @GoogleAI