Google Gemini 3.5 Snow Bunny is all over the AI world right now.
And for good reason.
People claim this leaked model can write 3,000 lines of working code from a single prompt.
That’s not just a flex — that’s a seismic jump in what’s possible with AI development.
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The Leak That Broke AI Twitter
Here’s what’s happening.
A model nicknamed Snow Bunny has surfaced in testing forums and Discord groups.
It’s rumored to be an internal build of Google Gemini 3.5 — a private model never meant to be seen yet.
Users claim it’s producing complete apps from one conversation.
Not toy code.
Not placeholders.
Real, running software.
We’re talking front-end, back-end, and database logic — all generated in one shot.
If that’s true, we’re looking at the biggest leap since GPT-4.
Why Google Gemini 3.5 Snow Bunny Matters
Let’s be clear.
This is a leak, not an official launch.
But the reports are wild:
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3,000+ lines of clean code per prompt
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Beating GPT-5.2 and Claude Opus 4.5 on reasoning benchmarks
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Multimodal capabilities like UI code, vector graphics, and full-stack app generation
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“Deep Think” reasoning mode — a pause before response, as if the model is literally thinking
Developers testing it say it can write, debug, and optimize entire systems without breaking context.
Imagine prompting:
“Build a full invoicing app with Stripe integration, React front-end, and Supabase login.”
And Gemini 3.5 Snow Bunny hands you a complete repo that actually runs.
That’s what people are claiming.
The Technical Side: What’s Supposedly New
Snow Bunny appears to be an experimental build with expanded token capacity, possibly over 2 million tokens, and a new “reasoning graph” system that chains logic steps together before producing output.
This is what testers call “deep think mode.”
Instead of blurting an answer instantly, the model pauses — generating structured reasoning internally — then delivers code that just works.
That’s how you get 3,000+ coherent lines without collapsing context halfway.
It’s reasoning meets persistence.
If accurate, this architecture could outclass everything currently public.
Comparing Google Gemini 3.5 to GPT-5 and Claude
The leak claims Snow Bunny surpasses GPT-5.2 and Claude Opus 4.5 on the hardest reasoning benchmarks: MATH, HumanEval, and SWE-Bench.
That’s bold.
But here’s the key — the reasoning component.
Where GPT-5 favors speed and context compression, and Claude excels at structure and explanation, Snow Bunny allegedly blends both with higher memory and recursion depth.
In plain English: it doesn’t forget what you said 2000 lines ago.
That’s what makes this a developer’s dream.
The 3,000-Line Code Generation Test
Here’s the claim that made everyone lose it.
Developers gave Snow Bunny one prompt.
One.
And it wrote 3,000 lines of running code — clean, functional, bug-free.
That’s 15× the output of most large models.
People are using it to:
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Build SaaS dashboards
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Generate complete web apps
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Create data-driven games
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Construct APIs with authentication, routing, and error handling
The kicker?
The code compiled successfully.
That’s the first time we’ve heard that outside closed-source labs.
What This Means for Developers
If even half of this leak is real, your workflow is about to change forever.
You’ll go from writing code to directing systems.
Instead of typing every line, you’ll describe intent.
The model becomes your AI co-founder — writing, testing, and deploying code while you architect the vision.
Here’s what this unlocks:
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One-prompt prototypes
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Instant product iterations
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Full automation stacks in minutes
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Self-debugging workflows
Your focus shifts from syntax to strategy.
You become the director.
AI becomes the builder.
Why You Should Still Stay Skeptical
Now, let’s stay grounded.
Google hasn’t confirmed anything.
These leaks come from:
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Early testers in private communities
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Reddit benchmark screenshots
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Anonymous code demos shared in Discord
And as history shows, not all leaks are real.
Some are accurate pre-launchs (like the GPT-4 leaks).
Some are overblown experiments that never get released.
Some are just fake hype.
Snow Bunny might be all three.
The “Too Good to Be True” Problem
Every major AI leak starts the same way — insane claims that turn out half-true.
Remember GPT-4 rumors?
People said it could generate 50,000 words per prompt.
Did it?
Not quite.
But parts of it — reasoning, coding depth, image processing — were real.
So with Gemini 3.5, even if half the claims hold, it’s still a huge step forward.
If Snow Bunny is a real internal model, we could see it evolve into Gemini 4 later this year.
What’s Actually Confirmed
Here’s what we know is real:
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Gemini 3 Flash (public) already supports advanced multimodal features.
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Google’s model cadence suggests a 3.5 or 4.0 release within Q1 or Q2.
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Internal tests at DeepMind are exploring reasoning and long-context improvements.
So the foundation exists.
Snow Bunny could simply be a testing checkpoint — a model that will shape the next public Gemini release.
Real Use Case: How Developers Can Prepare
Even if Snow Bunny isn’t public yet, here’s what you can do right now.
Use Gemini 3 Flash, Claude Code, and OpenCode together.
That combo gives you reasoning, context, and local debugging power already.
If you want the actual templates and setups, check out Julian Goldie’s FREE AI Success Lab Community here:
👉 https://aisuccesslabjuliangoldie.com/
Inside, you’ll see exactly how developers are building full AI-powered coding systems using Gemini, Claude, and local workflows.
Why This Leak Still Matters Even If It’s Fake
Leaks shape expectations.
They push competitors to move faster.
Even if Snow Bunny isn’t real, OpenAI, Anthropic, and Google will race to match the hype.
That means better tools for you — sooner.
Every benchmark leak creates competition.
Every competition accelerates progress.
So even if this turns out exaggerated, the innovation cycle it sparks is real.
What To Watch Next
If Snow Bunny is real, you’ll see:
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More test results from independent developers
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Verified benchmark screenshots
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Mentions in technical papers or GitHub repos
If it’s fake, the noise dies in a week.
Either way, we’ll know soon.
Until then — stay curious, stay skeptical, and keep building.
FAQ
What is Google Gemini 3.5 Snow Bunny?
It’s a rumored internal AI model reportedly capable of generating 3,000 lines of working code from one prompt.
Is it confirmed by Google?
No. These are leaks from early testers and anonymous sources.
How does it compare to GPT-5 or Claude 4?
Leaked claims suggest it beats them on reasoning and code generation benchmarks, but nothing official yet.
When will Google Gemini 3.5 launch?
Google hasn’t announced a release, but based on past updates, Q1–Q2 2026 seems possible.
Where can I learn to automate coding with current models?
Inside the AI Profit Boardroom and the AI Success Lab, where full tutorials and templates are available.
