I was not keen to use Gemini 3 when Google announced it. I had already tried too many different models in the past year that I was quite frankly a bit jaded. Each new AI was promised to be transformative, revolutionary, or the future, and the majority of them came to look similarly to one that I already bought at a slightly better price.
However, a week after Gemini 3 fell, I received a message from a friend who wrote to me that I should try it with a messy photo on my phone. You’ll see.”
I did exactly that. I made a bent and dark picture of a page in an old notepad. The type of picture in which one half of the text is dissolved in the shadows, and the other half is written as the pen is fainting away. I posted it, and the model supposedly figured out how to pick a direction on how to go just like most of us when the picture is not clear.
Rather, Gemini 3 recreated the page almost accurately. It even corrected my diagram plan and indicated where I had contradicted myself in the notes. This was the first occasion I got to know that Gemini 3 is not an incremental upgrade. It was more than just a fight under the hood.
This is my comprehensive experience using Gemini 3, what it can and cannot do, as well as whether it is worth taking up a place in your workflow.
What is Gemini 3?
Gemini 3 is the second major move by Google in their multimodal artificial intelligence. In contrast to the previous models which at times experienced the dichotomy between quickness and shrewdness, Gemini 3 attempts to keep up with speed and smartness simultaneously. It reads, sees, writes, reasons, and even designs with some of that confidence that it did not possess before.
1. Why This Release Matters
The artificial intelligence world runs rapidly, but serious upgrades are not common. All the company updates are cosmetic in contrast to Gemini 3. The version strikes three tremendous pillars:
- Speed- It is responsive to long or complicated prompts.
- Reasoning- It processes step-by-step logic in a better way compared to any other former Google model.
- Vision — It is now sharp enough to believe in real pictures and not just studio pictures.
2. Versions and Where You Can Use Them
The models released by Google are usually in layers. There will be variations such as:
| Version | Strengths | Who It’s For |
|---|---|---|
| Gemini Flash 3.0 | Quick, cheap, lightweight | Speedy tasks, apps, automation. |
| Gemini 3 Pro | Balanced power | Everyday user and creators. |
| Gemini 3 Ultra | Complex thought, heavy tasks | Developers, researchers, AI power users |
You can use Gemini 3 inside:
- Google AI Studio
- The Gemini mobile app
- Google Workspace tools
- Google Cloud Vertex AI
- It is integrated in third-party applications.
What’s New in Gemini 3?
And this is where it becomes interesting. The upgrades list is not just a slight push-up, it is more of a personality change. However, Gemini 3 does not act like earlier models, as though Google had re-trained it with a stronger attitude towards accuracy.
Let us deconstruct the change itself.
1. More Stable and Faster Performance
The speed of response is one of the aspects that I had initially noticed. The model does not give much thought or waits too long to think even in cases where I add a prompt that has several layers.
For example, I asked it to:
- generate a UI layout
- list every component
- write the code
- explain the reasoning
- give three variations
That would have put older Gemini models on their heels. Gemini 3 did the whole thing in good one smooth stream, and none of the passages seemed hurried or indistinct.
Latency is similar to the more rapid models of OpenAI but in other cases even better when working with batches.
2. More Powerful Reason and Accuracy
This is the upgrade which transforms all things. Gemini models had the problem of solving problems step by step. They could be guessing at times. Gemini 3 has the guessing largely eliminated.
I was put to the test on logic puzzles, multi-step deductions, nesting conditions, and chain reasoning.
Here’s one example:
Prompt:
“You have 8 balls. One is heavier. You have a balance scale. Leave number of steps to a heavy at the least and give the rationale.”
The Gemini 1.5 had the tendency of stumbling or giving additional steps.
Gemini 3 had the right 2-step technique and an explanation.
It seems almost as though Google improved the internal reasoning engine, and not merely trained it with more data.
3. Enhanced Vision Features
The area of Gemini 3 which surprised me the most is vision.
I tested it with:
- blurry photos
- messy handwriting
- receipts with bent edges
- a photograph of my work table
- UI screenshots
- code snippets on a whiteboard
Gemini 3 managed to cope with all of them. The previous versions were good but Gemini 3 is sharper. It even identified a typing error in my handwritten note that I needed to zoom up to make sure.
OCR Improvements
There is increased accuracy in reading numbers, tables and small text. This in itself is a large incentive to be concerned, should you be involved with documents.
4. Better Coding Capabilities
The output of the coding has grown up. Gemini 3 does not need to print blocks of code as a printer would do; instead, it is written in a more conversational style, as a co-worker explaining something to another in a common document.
Here’s what stands out:
- The code is in fact more frequently run.
- The remarks do not seem spammy.
- It also keeps file structure in various prompts.
- It analyzes its own output without going astray.
- It has the ability to create small full-stack applications whose folders are better organized.
I also instructed it to recode one of the spaghetti-code functions of a real project. Gemini 3 did not simply refactor it, but gave reasons why the change was essential and proposed more suitable names.
5. More Creative Power
This is something that is difficult to measure, yet one can easily feel it.
Gemini 3 is more personality and control in his writing tool. The previous models were either too business or too artificial intelligence-like. Gemini 3 is able to change tone in a natural manner, particularly when it is instructed to write as a human being.
6. UI and Design Prompts
This is the point Gemini 3 surprised me.
I gave it:
“Desktop Travel-booking dashboard Clean UI Design Use cards, side bar and contemporary space. “
The design it detailed was such that I could hand over to a designer without shame.
Earlier models used to provide general concepts such as: Be clean with easy navigation.
Gemini 3 is actually specific.
Hands-On Experience
Hours of playing with it, this is what caught my attention the most.
1. First Impressions
I expected a small update. Rather, Gemini 3 resembled an example, which has finally discovered what it wants to become.
It responds confidently.
It keeps context better.
It remains concurrent during lengthy conversations.
And it does not veer off into strangeness in the middle of the discussion.
2. The “Oh wow” moment
The initial instance of my okay, that is new happened when I posted a disheveled photo of handwritten notes of a meeting. Not only did it read the handwriting, it also re-arranged the handwritings, recognized the lack of other context as well as rebuilt the agenda of the meeting more clearly than the original writing.
I really laughed as it was like cheating.
Real Testing Scenarios
The following are some of the ways I used to push the model:
1. Mixed language communication
In one conversation, I had used Hindi, English, and Marathi.
Gemini 3 went through the transitions easily and did not lose sight of tones and meanings.
2. Long-form writing
I requested it to write a 2000-word narrative paper. It did not get stuck on the theme and did not repeat itself.
3. Code + design combo
I requested it to create a UI design, followed by React code, followed by rewritten Tailwind code, followed by componentization of the code.
It did all of it cleanly.
Vision and Multimodal Tests
The Gemini 3 is more complete here.
1. Messy desk photo
It identified:
- a USB stick
- a cracked pen
- a folded bill
- a pair of tangled earphones
- and even the brand of notebook which I had.
I didn’t expect that last one.
2. Handwritten notes
It was writing that I even find difficult to do at times.
3. Screenshots
I tested screenshots of:
- dashboards
- code editors
- YouTube comments
- Figma UIs
It made the interpretation of structure, hierarchy and layout remarkably accurate.
Performance Breakdown
To simplify the process of skimming over it, I have compiled a brief table on my experience:
| Category | Rating | Why |
|---|---|---|
| Writing | 9/10 | Natural, consistent, flexible |
| Reasoning | 9/10 | The ability to reason, make fewer errors. |
| Coding | 8.5/10 | Better debugging, cleaner code. |
| Vision | 9.5/10 | Big jump in accuracy |
| Speed | 9/10 | Quick even with long delays. |
| Memory | 8/10 | Remembers better than previously. |
Gemini 3 Vs Other Models.
Let’s talk competitors. Since when picking an AI model, you are most likely to be comparing it to GPT and Claude.
1. Gemini 3 vs Gemini 1.5
| Feature | Gemini 1.5 | Gemini 3 |
|---|---|---|
| Speed | Decent | Much faster |
| Accuracy | Hit or miss | Mostly reliable |
| Vision | Good | Great |
| Writing | Sometimes stiff | Natural and controlled |
| Coding | Improving | Much better |
Gemini 3 is not an insignificant patch, it is an upgrade.
2. Gemini 3 vs GPT-5 (or 4.1)
In some cases, GPT still cannot outperform pure creativity, particularly when it comes to writing long stories or writing emotionally. Gemini 3 is more sound and a little more realistic.
Where Gemini 3 wins:
- vision
- structured tasks
- UI and layout descriptions
- logical thinking in a step-by-step manner.
Where GPT wins:
- playful writing
- character voices
- roleplay or fiction
3. Gemini 3 vs Claude 3.5 / 4.5
Claude is known as a writer of natural writing, as though he was a poet who has turned into an engineer.
Gemini 3 feels more practical.
Claude wins at:
- emotional nuance
- philosophy-style writing
- deeply reflective tone
Gemini 3 wins at:
- multimodal tasks
- design prompts
- structured content
- retrieving information in pictures.
Claude is still beautiful, in case you desire creativity. Gemini 3 strikes the right chord in case you wish to have an all rounder.
Best Use Cases for Gemini 3
This is where Gemini 3 comes in particularly when it comes to what you require.
1. For Students
- Making sense of things in summaries.
- Step-by-step math guidance
- Switching of languages without interruption of tone.
- Description of diagrams and charts.
- Reading of the image of textbooks.
2. For Developers
- Full-project scaffolding
- Clearer debugging
- Clean, readable code
- Documentation rewriting
- Reviewing pull requests
- Transforming the designs into UI components.
I was able to create a small Express.js backend using it. It did not lost its way in forming everything in a proper order, routing, middleware, folder hierarchy.
3. For Writers and Creators
- Blog posts
- Script outlines
- Social media content
- Storytelling prompts
- Character building
It does not go out of track as its predecessors.
4. For Businesses
- SOP creation
- Data extraction from images
- Document summarization
- Meeting notes from photos
- Customer research
- Writing proposals, reports, and outreach e-mails.
Gemini 3 is more like an ally at the office instead of a funny artificial intelligence.
Limitations and Weak Spots
Although Gemini 3 is an impressive one, it is not perfect.
1. Sometimes too serious
In asking fun writing, you might need to state the kind of tone you want.
2. Creative writing may be secure.
It is not radical creativity without pushing it.
3. There are other niche areas that lead to reluctance.
Scientific problems that are very technical sometimes receive unclear solutions.
4. It continues to hallucinate occasionally.
Not as often, however, yet.
Should You Switch to Gemini 3?
Here’s the honest answer:
1. Switch if you want:
- Strong vision performance
- Balanced writing + reasoning
- Faster results
- Reliable coding help
- Better accuracy
2. Do you wish to stay with GPT/Claude?
- Hitchcock, character based narrative.
- Heavy creativity
- Philosophical writing of high order.
3. If you already use Gemini 1.5?
Gemini 3 is not only superior, it corrects the items that would frustrate people. Modernization is well worth the cost.
Final Verdict
The first Google model in a long time is complete and it is called Gemini 3.
Not flashy. Not loud. Simply good at virtually everything.
It’s fast.
It’s accurate.
It’s grounded.
It perceives the world through images more than most models do at the moment.
And it is like it has been a construction to be dependable as opposed to dramatic.
Gemini 3 is one of the most powerful options on the market if you would like an AI model that can perform real work with bearable baby sitting.
