Google shows off 9 demos of Gemini Omni and Gemini 3.5 in action

Google is putting more of its AI roadmap on screen.

In a new roundup, the company published nine demo videos centered on Gemini Omni and Gemini 3.5, giving a more direct look at how its latest models handle real-world tasks. Instead of leaning on benchmark charts or broad promises, the clips focus on the kind of interactions Google wants users and developers to imagine: multimodal input, fluid back-and-forth conversations, visual understanding, and hands-on task support.

That matters because AI launches are increasingly becoming show-don’t-tell moments. Big model names and version numbers can blur together fast. Demo videos, when done well, make the product direction clearer.

From Google’s framing, Gemini Omni appears aimed at richer, more immediate interaction across formats, while Gemini 3.5 is positioned as part of the company’s continuing push to make Gemini more capable, more responsive, and more useful across a wider set of workflows.

The exact mix of nine demos is less important than the broader signal: Google wants Gemini to be seen as an AI system that can watch, listen, reason, respond, and help across different contexts without feeling boxed into a single mode.

For the tech industry, this is also a competitive message. Every major AI company is now racing to show not just that its models are powerful, but that they feel usable. Speed, natural interaction, and smooth handling of mixed inputs are quickly becoming the features that shape perception.

Gemini Omni, by name alone, suggests a push toward more unified multimodal capability. In plain terms, that means a system designed to work across text, images, audio, video, or live context with less friction between them. That kind of design is where the industry has been heading for a while, and Google clearly wants to show it can deliver that experience at a high level.

Gemini 3.5, meanwhile, strengthens the company’s broader model lineup. The demos point to practical utility, not just research progress. That includes the kinds of scenarios users actually care about: understanding what is on screen, helping with tasks in real time, interpreting complex inputs, and supporting knowledge work without requiring users to constantly reformat their requests.

There is also a branding layer here. Google has spent the last several product cycles weaving Gemini deeper into its ecosystem. Demo packages like this help create a more coherent narrative around what Gemini means across products. It is not just a chatbot label. Google wants it understood as the intelligence layer behind a wide range of experiences.

Key points

• Google released nine demo videos focused on Gemini Omni and Gemini 3.5.
• The showcases center on multimodal interaction and practical task handling.
• The company is highlighting real usage scenarios instead of only model metrics.
• The demos reinforce Google’s push to make Gemini feel like an always-available AI layer across products and workflows.

Of course, demos are still demos. They are useful for showing direction, but they do not answer every question about consistency, rollout, or how these capabilities will appear across consumer and enterprise products. What they do offer is a sharper view of what Google thinks the next phase of AI should look like.

And right now, that next phase looks more live, more visual, and much less text-box-only.

For anyone tracking the AI race, Google’s nine-video drop is less about a single headline feature and more about momentum. The message is simple: Gemini is being built to act less like a tool you open and more like an intelligence system that can meet you wherever the task starts.