Technology & AI

Google’s Hands-on Review of High-Speed ​​AI

Google Gemini’s family donation for the next generation: Gemini 3.5 is here!

Gemini 3.5 Flash combines edge intelligence with real-world action and supports high-speed agent workflows, encoding, and multimodal reasoning while maintaining the low latency expected of the Flash series.

With the Gemini 3.5 Pro, scheduled for release next month, let’s take a look flash model and what it brings to the table.

What is Gemini 3.5 Flash?

Positioned as a model built for practice rather than chat, Gemini 3.5 Flash emphasizes long-horizon task management, interactive subagents, rich UI generation, and workflow automation across both developer and business environments.

Here are the key features of Gemini 3.5 Flash:

  • It beats the Gemini 3.1 Pro at coding again the agency activities
  • 1M token context window with 65k max issuing tokens
  • 4x fast in terms of output tokens/second
  • 4 levels of thinking: less, down, which is in between (new default), up
  • The preservation of thought in all conversations changes automatically

How to access Gemini 3.5 Flash

Gemini 3.5 Flash is currently available for all consumer, developer, and enterprise platforms.

  • Standard users can access it through the Gemini app and AI Mode in Google search.
  • Engineers can use it with Google Antigravity, Gemini API in Google AI Studio, and Android Studio.
  • Business customers it can be accessed through Gemini Enterprise Agent Platform and Gemini Enterprise.

Since the model is not open source or weights, it cannot be accessed through Hugging Face but can be used using its Gemini API. You can use Gemma 4 if you prefer a local model.

Hands On 1: Prototyping

Generate a modern, attractive frontend for an e-commerce website using only inline HTML and CSS (no external CSS or JavaScript).

  • The page should include a responsive layout, navigation bar, hero banner, product grid, category section, product cards with images/prices/buttons, and a footer.
  • Use a clean modern design, good space, and a laptop-friendly layout.

Answer:

After copying the code and creating the HTML, this is the result I got:

The website is Gemini 3.5 Flash
The website is Gemini 3.5 Flash

There are missing images and some buttons are also not working. But it caused all this to less than 10 seconds!! it makes it even clearer. You can use this for rapid prototyping of ideas.

Hand 2: Tricky Problems

I want to wash my car. The car wash is 50 meters away. Should I walk or drive?

Answer:

Gemini 3.5 Flash Response

This may seem silly to us, but LLMs have long struggled to answer this question properly.

Hands-On 3: Speed ​​Visuals

I am attracted to pictures. Give me a visual that shows how an image decays due to compression, if it is converted many times to jpeg format.

Answer:

Gemini 3.5 Flash Response

And then there’s this image that shows the decay of image quality:

Jpeg Decay exposed by Gemini 3.5 Flash
The gradient quality between the original image (top-left) and the 20th generation (bottom-right) can be seen

Since I had problems with image processing in the Gemini App, I used AI Mode as a workaround. It worked and was able to answer my question in less than 10 minutes.

Note: All tests were performed on a free Gemini App account.

Final Decision

Above all, the thing that stood out to me in all these tests was the speed with which the answers were given. No response in this list took 10 seconds (the time taken by Gemini 3.5 Flash to start responding).

The response rate could be further improved, but that is not a problem as a flash the model should not be used for qualitative (time-consuming) responses.

The conclusion

Gemini 3.5 Flash not only looks promising on paper but also in results. With various capabilities and speed, the Gemini 3.5 Flash model has fixed many things. And it will be interesting to see how the Pro variant of this model family fares against other models of similar capabilities.

Read more: Google’s TurboQuant: Cut Model Memory Usage in Half

Vasu Deo Sankrityayan

I specialize in reviewing and refining AI-driven research, technical documentation, and content related to emerging AI technologies. My experience includes AI model training, data analysis, and information retrieval, which allows me to create technically accurate and accessible content.

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