Google just dropped a brand-new “thinking model” called Gemini 2.5. If you blinked, you might have missed it—because the internet’s been buzzing about ChatGPT’s image generation release. But Gemini 2.5 is worth paying attention to.
Google says it’s their "most intelligent AI model," capable of reasoning through problems before responding. That translates into more accurate results, powerful coding capabilities, and a multimodal skillset (text, images, and more) that’s poised to shake up the AI landscape.
I recently dug into the launch details with Marketing AI Institute founder and CEO Paul Roetzer on Episode 142 of The Artificial Intelligence Show.
Here’s what you need to know.
Why Gemini 2.5 Matters
AI news was dominated this week by ChatGPT’s leap into image generation, leaving Gemini 2.5 a bit overshadowed. But behind the scenes, developers and AI enthusiasts are abuzz about Google’s new model.
That’s because the first Gemini 2.5 release, Gemini 2.5 Pro Experimental, is now topping industry benchmarks with significant margins, displaying serious capabilities across math, reasoning, and coding. It has also leapt to the top of a major LLM leaderboard as of writing, surpassing all other models on the market today.
Gemini 2.5 Pro Experimental is fully multimodal and designed to “think” through multiple steps internally. That means better logic, fewer mistakes, and more context when you’re throwing tough tasks at it—like advanced math, science, or software development challenges.
It also has a massive context window of one million tokens. That’s roughly three-quarters of a million words worth of text it can juggle at once. And Google says they’re aiming even higher (think multimillion token windows).
Why does that matter?
Because it can read and store huge amounts of your data (including your company documents or knowledge) all at once, drastically reducing errors. It doesn’t have to keep “forgetting” what came before or hallucinate missing info.
“If it can remember that information, then it becomes way better and more practical for use in business,” says Roetzer.
From Text-In-Text-Out to All-in-One AI
Just a year ago, it felt like we had to switch between different AI tools for different tasks. One for image generation, one for text, one for code, etc. Now, we’re seeing models like Gemini 2.5 blur those lines. They can take images, produce text, generate code, and reason about data in a single place.
Roetzer points out how all the major players—Google, OpenAI, Anthropic, Meta—are racing to release “next-gen” versions that do everything in one shot. The end result? We might soon have a single AI that sees, hears, codes, and reasons, all in a single interface, with no need to pick from a dozen separate models.
In that sense, Gemini 2.5 is a preview of what’s coming.
“This is a preview of the next generation of models,” says Roetzer. “All these next generation models will all be multimodal from the ground up. And then you’re going to have reasoning on top of it. And then you’ll have some sort of classifier that actually knows which function to use for you.”
What It Means for Your Business
For business leaders, the biggest takeaway is that advanced reasoning and massive context windows in Gemini 2.5 and the next generation of models open up real possibilities. Gemini 2.5 can handle vast sets of data—documents, spreadsheets, PDFs, videos, images—and keep it all in mind. That means it’s better at summarizing, analyzing, and giving you helpful answers.
“Context window matters a lot to the average user,” he says.
Not to mention, this is just the beginning. While Gemini 2.5 is already impressive, we’re still in the early innings. Google’s ambitions appear to include further scaling the model’s context window and integrating images, voice, and video seamlessly. As advanced as it is, this 2.5 release is just a preview of a future where AI systems can reason deeply, combine multiple forms of media, and stay locked onto your most important data.
The AI “arms race” is truly heating up. It’s not just about who can build the biggest model, but who can embed robust thinking, memory, and multimodal features into an AI that’s also user-friendly.
Bottom line? Despite being a bit overshadowed this week, Gemini 2.5 is a major milestone for Google—and a glimpse of the AI future we’re sprinting toward. If you’re serious about using AI in your organization, this is one development you won’t want to ignore.
Mike Kaput
As Chief Content Officer, Mike Kaput uses content marketing, marketing strategy, and marketing technology to grow and scale traffic, leads, and revenue for Marketing AI Institute. Mike is the co-author of Marketing Artificial Intelligence: AI, Marketing and the Future of Business (Matt Holt Books, 2022). See Mike's full bio.