Google just launched Gemini 2.5 Deep Think, its most advanced AI model to date.
And this one doesn’t just spit out answers, it thinks through them.
Think of it like a brainstorming team inside your phone or laptop, each “agent” tossing out ideas until the best one wins.
What’s New About Gemini 2.5 Deep Think?
Unlike older AI models that work alone, this one uses multiple AI agents.
That means instead of one brain solving a problem, you get a team working together behind the scenes. They each explore different angles, then combine their thinking to give a stronger, smarter answer.
Google calls this a multi-agent approach, and it’s a big step up in how AI tackles tough questions.
Only for Premium Users For Now
Starting Friday, users on Google’s $250/month Ultra plan will be able to try Gemini 2.5 Deep Think inside the Gemini app.
That’s not cheap, but early testers are getting access to a cutting-edge tool.
Why Does It Matter?
Here’s what makes this model stand out:
- Better reasoning: Instead of jumping to conclusions, Gemini 2.5 explores options and improves as it thinks.
- Longer answers: It can produce deeper, more detailed responses than older models.
- Creative power: From planning to problem-solving, it’s designed for people who need more than just facts.
It Won Gold at the Math Olympiad
Google used a version of this model to win gold at the 2025 International Math Olympiad (IMO), a global competition where only the brightest minds compete. That’s no small feat.
Now, Google is sharing that version with a small group of mathematicians and researchers, hoping it helps them push the limits of discovery.
Real-World Uses Are Already Showing Promise
| Use Case | How It Helps |
| Math research | Breaks down complex proofs over hours, not seconds |
| Coding challenges | Outperformed rivals in real-world tests like LiveCodeBench |
| Creative planning | Offers step-by-step strategies instead of one-off ideas |
| Web development | Generates cleaner, more attractive designs |
The Numbers Speak for Themselves
Gemini 2.5 Deep Think is not just hype. On several key benchmarks, it leads the pack:
| Benchmark | Gemini 2.5 | Grok 4 (xAI) | o3 (OpenAI) |
| Humanity’s Last Exam | 34.8% | 25.4% | 20.3% |
| LiveCodeBench6 | 87.6% | 79% | 72% |
These tests measure how well an AI performs across subjects like math, science, humanities, and code.
Built-In Tools for a Smarter AI
Gemini 2.5 isn’t working alone. It also taps into:
- Google Search for fresh, real-time info
- Code execution for hands-on problem-solving
- Advanced memory for longer, more thoughtful replies
This combo means it’s not just smart, it’s practical.
Google isn’t the only company chasing the multi-agent dream.
- xAI’s Grok 4 Heavy uses a similar strategy
- OpenAI’s next-gen models have hinted at it
- Anthropic’s Research Agent does it for writing research briefs
AI labs are moving toward collaborative thinking inside machines.
But There’s a Catch. It’s Expensive
Running multi-agent models takes a lot more computing power, which makes them more expensive. That’s why both Google and xAI are limiting access to premium subscribers for now.
Still, as the tech improves, it could become more affordable in the future.
What’s Next for Gemini 2.5?
Google says it’s not done yet. In the coming weeks:
A limited number of developers and testers will get API access with the goal of seeing how people use Gemini 2.5 in real-world and research settings. Feedback from this will help Google improve the model even more.
Final Thoughts
Gemini 2.5 Deep Think marks a shift in how AI models are built and used. It’s not just answering, it’s reasoning, planning, and improving in real time.
And while most people can’t try it just yet, it offers a glimpse of where AI is heading: models that act more like collaborators and less like tools.
So don’t be surprised if your next “virtual assistant” feels more like a thinking partner than a search engine.
