Name: Every Google Gemini 3.0 Pro Feature You'll NEED in 2026
Uploaded: 2026-01-15T00:23:17.000Z
Duration: 13 min 35 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

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And if you're still using it like a basic search engine, you're missing out on features that could literally save you hours every single day.

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Most people have no idea what this thing can actually do.

They type a question, get an answer and move on.

But Gemini 3.0 Pro has tools buried inside that can analyze entire videos, generate studio quality images, build interactive apps, and

even create full podcasts from your documents.

And in this video, I'm going to show you every single one of them.

Right now think of it as the brain powering all of Google's AI tools.

It's multimodal, which means it doesn't just read text, it can understand and generate text, images, audio, video, PDFs and even entire code bases all at once.

Gemini 3.0 Pro launched in November 2025 and it's a massive upgrade from the previous version.

The model is designed for complex reasoning, long context understanding and what they call agentic tasks, which basically means it can plan, execute and complete workflows with multiple steps, surpassing any other AI model that would struggle to keep up with all the information.

Now, if you care about the numbers, it scores 37.5% on humanity's last exam, which is a benchmark for advanced reasoning.

It hits 91.9% on GPQA diamond, which tests graduate level knowledge, and

72.7% on ScreenSpot Pro, which measures how well it understands user interface elements on a screen.

It outperforms GPT 5.1, Claude Sonnet 4.5 and its own predecessor across the board.

Alright, let me show you how this actually works.

I'm logging into Gemini right now and we're going to run a few tests.

I want to show you the difference between low thinking level and high thinking level.

And then we'll test the multimodal capabilities.

I've selected thinking from the model picker.

Option B gives you 12% return but a $200 yearly fee.

Which one makes more money after five years?

Watch how Gemini 3.0 Pro thinks through this.

It's doing the math, figuring out the fees, and comparing both options side by side.

It's not just picking one randomly, it's showing me the actual numbers for both choices and telling me which one wins.

The model took a few extra seconds to think before answering, and

the result is way cleaner and easier to understand.

Now let's test the multimodal capabilities.

I'm going to upload an image, a screenshot of a complex data dashboard and ask Gemini to analyze it.

And as you can see, it's not just reading the image, it's actually interpreting the data, spotting patterns, calling out anomalies, and

This is the moment you realize multimodal models aren't just a small change, they're basically a full analyst who can look at a dashboard and tell you what matters before you've even zoomed in.

Let's also test its video analysis features.

In the next example, I'll upload this video and ask Gemini to break it into chapters, highlight the key moments, identify emotions, and

The goal is can a multimodal model act like a real editor and not just a transcription machine?

And as you can see, it does the whole thing.

Clean structure, clear insights, even notes on pacing.

At this point, Gemini isn't just helping with the editing, but it completely structures it.

The final test is for long context understanding.

I'm going to upload a 30 page PDF, a research report, and

ask Gemini to summarize it and answer specific questions.

Pulled out the key findings, identified the methodology and flagged the limitations section.

This is the 2 million token context window at work.

While other tools would struggle with this much information and sometimes even ignore most of it, Gemini has the capacity to understand and memorize almost anything you give it.

Now let's test the new extended AI mode in Google Search.

this is Gemini 3.0 Pro powering Google Search directly, giving you deeper, more context aware answers.

I've enabled AI mode with extended thinking in Google Search.

I type in best budget laptops for students in 2025 and look at what it returns.

It gives me a curated set of recommended picks with quick specs, pricing and source callouts plus a clean key considerations Battery portability, performance, storage, durability.

It even surfaces shopping cards with prices and retailers right there in the layout.

Gemini doesn't just give surface level text, it explains that entanglement links particles into a single shared system so their properties aren't fully defined until you measure them.

Then it breaks down the key principles like superposition, instantaneous correlation, and

why it looks non local without letting you send messages faster than light.

It even clarifies what it isn't and uses an analogy to make the difference.

Click this is AI learning at its best, turning a confusing physics idea into something clear and easy to understand.

I ask Visualize how compound interest grows over 20 years with $10,000 at a 7% annual return.

It shows the growth curve, explains why it accelerates over time, gives a clear year by year breakdown, and

calculates the final value after 20 years.

So we've seen AI mode in search, but Gemini 3.0 Pro becomes seriously powerful for education.

It actually markets specifically to college students by offering a free full year of use on the paid plan.

You can ask it to make learning materials, turn hard ideas into visuals, and

even build simple interactive tools to explore science.

It's not just about reading explanations anymore.

You can create visual hands on learning experiences whenever you need them.

I'm going to ask Gemini to make a visual explanation of a physics idea.

It shows the curved path of the object, breaks the velocity into the horizontal part that stays constant and the vertical part that changes because of gravity and explains what's happening across the motion in clear stages.

It even includes simple diagrams for the launch angle, the highest point where the vertical speed hits zero, and

where it finally lands with the velocity components shown.

Now I'm going to ask Gemini to write code that simulates this coding.