its newest LLM: Gemini 3. The mannequin is long-awaited and has been extensively mentioned earlier than its launch. On this article, I’ll cowl my first expertise with the mannequin and the way it differs from different frontier LLMs.
The purpose of the article is to share my first impressions when utilizing Gemini 3, highlighting what works effectively and what doesn’t work effectively. I’ll spotlight my expertise utilizing Gemini 3 within the console and whereas coding with it.
Why you need to use Gemini 3
In my view, Gemini 2.5 professional was already one of the best conversational LLM obtainable earlier than the discharge of Gemini 3. The one space I imagine one other LLM was higher at was Claude Sonnet 4.5 pondering, for coding.
The rationale I imagine Gemini 2.5 professional is one of the best non-coding LLM is because of its:
- Potential to effectively discover the right data
- Low quantity of hallucinations
- Its willingness to disagree with me
I imagine the final level is a very powerful. Some folks need heat LLMs that really feel good to speak to; nevertheless, I’d argue you (as a problem-solver) at all times need the other:
You need an LLM that goes straight to the purpose and is keen to say that you’re flawed
My expertise was that Gemini 2.5 was much better at this, in comparison with different LLMs akin to GPT-5, Grok 4, and Claude Sonnet 4.5.
Contemplating Google, in my view, already had one of the best LLM on the market, the discharge of a more moderen Gemini mannequin is thus very attention-grabbing, and one thing I began testing proper after launch.
It’s price declaring that Google launched Gemini 3 Professional, however has not but launched a flash various, although it’s pure to assume such a mannequin can be launched quickly.
I’m not endorsed by Google within the writing of this text.
Gemini 3 within the console
I first began testing Gemini 3 Professional within the console. The very first thing that struck me was that it was comparatively gradual in comparison with Gemini 2.5 Professional. Nonetheless, that is normally not a difficulty, as I principally worth intelligence over velocity, in fact, as much as a sure threshold. Although Gemini 3 Professional is slower, I positively wouldn’t say it’s too gradual.
One other level I seen is that when explaining, Gemini 3 creates or utilises extra images in its explanations. For instance, when discussing EPC certificates with Gemini, the mannequin discovered the picture under:
I additionally seen it will generally generate pictures, even when I didn’t explicitly immediate for it. The picture era within the Gemini console is surprisingly quick.
The second I used to be most impressed by Gemini 3’s capabilities was once I was analyzing the primary analysis paper on diffusion fashions, and I mentioned with Gemini to know the paper. The mannequin was, in fact, good at studying the paper, together with textual content, pictures, and equations; nevertheless, that is additionally a functionality the opposite frontier fashions possess. I used to be most impressed once I was chatting with Gemini 3 about diffusion fashions, attempting to know them.
I made a false impression in regards to the paper, pondering we had been discussing conditional diffusion fashions, although we had been actually unconditional diffusion. Be aware that I used to be discussing this earlier than even realizing in regards to the phrases conditional and unconditional diffusion.
Gemini 3 then proceeded to name out that I used to be misunderstanding the ideas, effectively understanding the true intent behind my query, and considerably helped me deepen my understanding of diffusion fashions.
I additionally took among the older queries I ran within the Gemini console with Gemini 2.5 Professional, and ran the very same queries once more, this time utilizing Gemini 3 Professional. They had been normally broader questions, although not notably tough ones.
The responses I obtained had been total fairly comparable, although I did discover Gemini 3 was higher at telling me issues I didn’t know, or uncovering matters / areas I (or Gemini 2.5 Professional) hadn’t considered earlier than. I used to be, for instance, discussing how I write articles, and what I can do to enhance, the place I imagine Gemini 3 was higher at offering suggestions, and developing with extra artistic approaches to enhancing my writing.
Thus, to sum it up, Gemini 3 within the console is:
- A bit gradual
- Good, and gives good explanations
- Good at uncovering issues I haven’t considered, which is tremendous useful when coping with problem-solving
- Is keen to disagree with you, and assist name out ambiguities, traits I imagine are actually vital in an LLM assistant
Coding with Gemini 3
After working with Gemini 3 within the console, I began coding with it by way of Cursor. My total expertise is that it’s positively a great mannequin, although I nonetheless favor Claude Sonnet 4.5 pondering as my essential coding mannequin. The primary motive for that is that Gemini 3 too usually comes up with extra advanced options and is a slower mannequin. Nonetheless, Gemini 3 is most positively a really succesful coding mannequin that is likely to be higher for different coding use-cases than what I’m coping with. I’m principally coding infrastructure round AI brokers and CDK stacks.
I attempted Gemini 3 for coding in two essential methods:
- Making the sport proven on this X post, from only a screenshot of the sport
- Coding some agentic infrastructure
First, I tried to make the Sport from the X publish. On the primary immediate, the mannequin made a Pygame with all of the squares, however it forgot so as to add all of the sprites (artwork), the bar on the left aspect, and so forth. Principally, it made a really minimalist model of the sport.
I then wrote a follow-up immediate with the next:
Make it look correctly like this recreation with the design and every thing. UseBe aware: When coding, you have to be far more particular in your directions than my immediate above. I used this immediate as a result of I used to be basically vibing within the recreation, and needed to see Gemini 3 Professional’s capacity to create a recreation from scratch.
After operating the immediate above, it made a working recreation, the place the visitors are strolling round, I should buy pavements and totally different machines, and the sport basically works as anticipated. Very spectacular!
I continued coding with Gemini 3, however this time on a extra production-grade code base. My total conclusion is that Gemini 3 Professional normally will get the job executed, although I extra usually expertise bloated or worse code than I do when utilizing Claude 4.5 Sonnet. Moreover, Claude Sonnet 4.5 is kind of a bit quicker, making it the particular mannequin of alternative for me when coding. Nonetheless, I’d most likely regard Gemini 3 Professional because the second-best coding mannequin I’ve used.
I additionally assume that which coding mannequin is greatest extremely is determined by what you’re coding. In some conditions, velocity is extra vital. Particularly types of coding, one other mannequin is likely to be higher, and so forth, so you need to actually check out the fashions your self and see what works greatest for you. The value of utilizing these fashions goes down quickly, and you’ll simply revert any modifications made, making it tremendous low cost to check out totally different fashions.
It’s additionally price mentioning that Google launched a new IDE called Antigravity, although I haven’t tried it but.
Total impressions
My total impression of Gemini 3 is sweet, and my up to date LLM utilization stack will appear like this:
- Claude 4.5 Sonnet pondering for coding
- GPT-5 once I want fast solutions to easy questions (the GPT-app works effectively to open with a shortcut).
- GPT-5 when producing pictures
- Once I need extra thorough solutions and have longer discussions with an LLM a few subject, I’ll use Gemini 3. Usually, to study new matters, talk about software program structure, or comparable.
The pricing for Gemini 3 per million tokens seems like the next (per November 19, 2025, from Gemini Developer API Docs)
- When you have lower than 200k enter tokens:
- Enter tokens: 2 USD
- Output tokens: 12 USD
- When you have greater than 200k enter tokens:
- Enter tokens: 4 USD
- Output tokens: 18 USD
In conclusion, I’ve good first impressions from Gemini 3, and extremely suggest checking it out.
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