The front-end is in danger. The internal test results of Gemini 3 have received unanimous praise from netizens. "The most powerful front-end development model ever."

Google's next-generation flagship model Gemini 3 has quietly become popular before its release!

The reason is simple: it's incredibly powerful. Really, it's just too strong.

On the foreign social media platform X, a large number of netizens excitedly shared the internal test results of Gemini 3 —

Judging from the exposed cases, Gemini 3 is particularly good at front - end development and SVG vector image generation, and its multimodal capabilities have become even stronger.

Without any random draws, Gemini 3 can generate its own introduction webpage at once (it's suspected to be an early leak of Gemini 3, just kidding~):

Without any external assistance, a short prompt can complete the visualization of a black hole, and it can even run directly in Chrome.

It can easily handle all kinds of SVGs with animation effects:

Moreover, it can directly compose an original piano piece.

In short, netizens spare no praise for Gemini 3. Some people call it "the best front - end and web development model ever".

Some people even boldly assert that Gemini 3 has already secured the title of the best model of the year.

Well, the anticipation is at its peak now. However, since Gemini 3 hasn't been officially released yet, let's first take a look at more real - world tests by netizens!

A large number of real - world tests by netizens are coming

Based on previous disclosures, Gemini 3 is expected to have two versions: Gemini 3.0 Pro and Gemini 3.0 Flash.

Judging from the exposed parameter configurations, Gemini 3.0 Pro uses the MoE architecture and has trillions of parameters (only 15 - 20 billion parameters need to be activated for each query). Its context window has been expanded from one million to millions, and it has a built - in in - depth thinking mode and built - in multimodality (supporting videos, pictures, and audios).

In the extremely difficult general intelligence test ARC - AGI - 2, the accuracy rate of Gemini 3.0 with the thinking mode enabled is close to 35%, while that of other models is below 20%.

Moreover, in the so - called "the last human exam HLE benchmark", which is considered the most difficult, Gemini 3.0 scored the highest at 32.4%, outperforming GPT - 5 (high) and Grok 4.

From the real - world tests by netizens, the internal test version of Gemini 3.0 does perform excellently in programming, multimodality, and other aspects.

Let's first talk about programming, which is mentioned most frequently. Gemini 3.0 seems to be particularly good at front - end development and interface design.

When asked to design a website for an ancient art museum, the result generated by Pro is very beautiful:

Moreover, in the face of intentional "difficulties", Pro still accomplished what a civilization at Kardashev Scale 3 could do.

The Kardashev Scale is a theoretical framework proposed by Soviet astronomer Nikolai Kardashev in 1964 to measure the technological advancement and energy utilization ability of a civilization. Its Level 3 represents the ability to utilize and control the energy of an entire galaxy.

With zero - shot prompting, Pro even generated a demonstration website containing content related to this level of civilization.

In addition, Gemini 3.0 is also very good at handling various pictures (including SVG vector images).

For example, in the famous SVG test of a pelican riding a bicycle, the output of Gemini 3.0 Pro amazed netizens.

Also, for the previously difficult rendering of a game controller, the improvement of Pro is obvious to the naked eye (it's quite close to the real product image).

You should know that when testing Gemini 2.5 Ultra a few months ago, the result was like this:

Moreover, for some game background images that require higher quality and more elaborate production, Gemini 3.0 can also bring surprises.

When drawing "Minecraft", almost every frame shows a high level of refinement (just kidding~

In this regard, its ability is not inferior to the dedicated programming model of GPT - 5 (the following image was generated by GPT - 5 Codex).

In addition to programming and drawing, netizens also found during the real - world tests that Gemini 3.0 not only understands physical principles better but also can bypass the famous "counting fingers" trap.

Even when the small balls inside the hexagon are constantly enlarging and shrinking, Pro doesn't generate obvious errors:

And when asked to count how many fingers are in the picture, Gemini 3.0 correctly answered 6 (if directly using the model's knowledge, it would wrongly answer 5).

In addition, regarding the function call of agents, according to netizens' disclosures, Gemini 3.0 will also bring new changes (the specific details are not disclosed due to confidentiality).

So the next question is —

When will Gemini 3.0 be officially released?

A suspected Google leak reveals the release date

Regarding the release time, Google's internal researchers actually started to build up the hype during the National Day holiday:

Gradually, there were rumors that Gemini 3.0 would be launched on October 9th, but this has now been disproven.

Just now, a Reddit user dug out a suspected Google internal document, which shows that the release time is October 22nd.