Google has officially introduced Gemini 2.5 Deep Think, its most powerful AI system to date. Designed with advanced reasoning capabilities, this model doesn’t just provide answers. Instead, it evaluates multiple possibilities at once through parallel agents and selects the most effective solution.
Availability and Access
Gemini 2.5 Deep Think will be available starting August 2, exclusively through the Gemini app. Access is limited to subscribers of the Gemini Ultra plan, priced at $250 per month.
What Is Deep Think?
Unveiled at Google I/O 2025, Gemini 2.5 Deep Think is Google’s first publicly released multi-agent AI. This architecture allows several agents to think through a problem simultaneously. It’s resource-intensive, but the payoff is deeper, more refined output.
To demonstrate its potential, Google used a specialized version of Deep Think to win a gold medal at the International Mathematical Olympiad (IMO). That version designed for academic performance is now being offered to select researchers and scholars. Unlike typical chatbots, Deep Think is capable of running extended reasoning sessions lasting hours, positioning it as a serious tool for exploration and discovery.
A More Capable Model
Google reports several major improvements in Deep Think over earlier Gemini 2.5 iterations:
- It uses advanced reinforcement learning methods to build stronger logical reasoning chains.
- The model excels in creative problem-solving, step-by-step thinking, and strategic planning.
- It can access tools such as code execution and Google Search.
- It produces long, well-structured, and visually rich responses, particularly when designing websites or interfaces.
Performance vs. Competitors
In the Humanity’s Last Exam (HLE) a test covering math, humanities, and science Deep Think scored 34.8% without external tools. For comparison:
- Grok 4 (xAI): 25.4%
- OpenAI o3: 20.3%
On the LiveCodeBench6 programming challenge:
- Gemini 2.5 Deep Think: 87.6%
- Grok 4: 79%
- OpenAI o3: 72%
In both logic and coding, Google’s model is currently leading the field.
Why It Matters
Multi-agent architecture is rapidly becoming the industry standard. xAI has already launched Grok 4 Heavy, OpenAI has admitted to using a multi-agent system in its own IMO win, and Anthropic is developing a Research Agent based on the same model structure.
The catch? It’s expensive. These systems require significant computational resources, which is why they’re locked behind premium subscriptions. Google and xAI are leaning into this model, and there’s little reason to expect a reversal.
What’s Next?
In the coming weeks, Google will offer API access to a limited group of developers. The goal is to explore how multi-agent AI can be used in commercial and academic environments.
Final Thought
Gemini 2.5 Deep Think isn’t just another version update. It marks a shift toward a new class of AI one that thinks in parallel, reasons in depth, and challenges the boundaries between human and machine intelligence. For now, it’s exclusive and costly, but it signals where things are headed: a future of distributed thinking, with increasingly capable AI systems. The question is no longer whether AI can think but who gets to do the thinking.
