What is Google Gemini 2.5 Deep Think?Google Multi-Agent AI Model Tutorial

In August 2025, Google officially launched Gemini 2.5 Deep Think, its most powerful inference-based AI model to date, to its Ultra subscribers (priced at $250 per month). This was a major leap forward in AI, inheriting the powerful capabilities of the Gemini series while also leveraging multi-agent parallel thinking technology to excel in solving complex problems.

This article will give you a quick overview of what Deep Think is, what it can do, how to use it, and why this technology may revolutionize the way we use AI.

What is Gemini 2.5 Deep Think?

Gemini 2.5 Deep Think is the latest AI reasoning model released by Google DeepMind. Compared to the previous Gemini 2.5 Pro version, its most significant feature is its use of a multi-agent parallel thinking architecture.
This means that when answering questions, the system doesn't just generate one idea at a time, but instead generates multiple solutions simultaneously, cross-comparing them, and selecting the best answer.

In-depth capability analysis:

• Parallel reasoning: Ability to think from multiple perspectives and explore multiple solution paths simultaneously.

• Iterative Creation: Supports gradual optimization of complex tasks such as web design and algorithm development.

• Scientific research ability: can be used to verify mathematical conjectures and analyze scientific research literature.

• Code expressiveness: It scored 87.6% on LiveCodeBench V6, outperforming similar models from xAI and OpenAI.

Deep Think's highlights

• Multi-thinking reasoning: Generate multiple solutions simultaneously, select the best one and output it, simulating human "brainstorming"

• IMO Gold Medal Model: Used to solve Mathematical Olympiad problems and demonstrate strong mathematical reasoning ability

• Creative design and web development: Iterative design, aesthetics and functionality, suitable for designers

• Leading the Coding Challenge: Scored 87.6% on the LiveCodeBench V6 coding benchmark, surpassing OpenAI and xAI

• Academic and Scientific Research: Support complex literature reading and mathematical conjecture exploration

• Tool integration: Automatically call the code executor and Google search to assist in answering questions efficiently

Tutorial: How to enable Deep Think mode?

Currently, Gemini Deep Think is only available to Google AI Ultra subscribers, with a monthly fee of $250.

Step 1: Subscribe to Gemini Ultra

Visit gemini.google.com or upgrade to Ultra through the Gemini app.

Step 2: Turn on Deep Think mode

1. In the Gemini App, select the model as "2.5 Pro".

2. Toggle the "Deep Think" mode switch on the right side of the prompt bar.

3. Enter your question or task, and Deep Think will automatically call multi-agent systems and external tools (such as code execution, search, etc.) to generate more in-depth answers.

Step 3 (Developer Only): Connect to the Gemini API

If you are an invited developer or academic user, you can apply for an early experience of the API version of Deep Think for scientific research or complex system integration.

What can Deep Think do? Example scenarios

Creative design & product prototype iteration

Suitable for gradually building complex systems such as web design, user interface, functional logic, etc., such as:

• AI helps you design a responsive website layout layer by layer

• Compare the pros and cons of different UI styles and recommend the best combination

• Excel in web development, UI design, game building, and more

Mathematical research and scientific discovery

Available for:

• Explore new mathematical conjectures and assist in proving difficult problems

• Deconstruct complex papers and extract key logical relationships

• Understanding and Reconstructing Complex Science Literature

• Has been used in the training of the International Mathematical Olympiad gold medal model

Programming and algorithm development

Deep Think excels at handling complex code architectures, algorithm tuning, and performance evaluation. It is particularly suitable for engineers in the following scenarios:

• Optimize sorting algorithms and analyze changes in time complexity

• Build a modular application architecture sketch and gradually refine the logic

• Achieved a top score of 87.6% on LiveCodeBench 6 (a programming proficiency benchmark)

Future trends in multi-agent AI

In addition to Google, other technology giants are also pursuing "multi-agent" AI technology:

• xAI Grok 4 Heavy: Also based on a multi-agent system;

• OpenAI IMO Gold Medal Model: The unpublished version is also multi-agent;

• Anthropic Research Agent: A multi-agent system designed specifically for research writing.

However, due to high costs, these models are currently concentrated in high-end paid subscriptions. The mainstream AI experience in the future may revolve around "parallel reasoning and multi-path solutions."

How does Google address potential risks?

Despite the power of Deep Think, Google still emphasizes the following content governance measures:

• Introduced new reinforcement learning technology to optimize inference quality;

• Deep Think has better tone objectivity than Gemini 2.5 Pro;

• At the same time, it is more inclined to reject ambiguous requests to ensure security;

• Google is conducting cutting-edge security assessments to control potential misuse risks during model capability upgrades.

Conclusion

The release of Gemini 2.5 Deep Think not only breaks records for AI models on multiple benchmarks but also opens up a new field in parallel reasoning.

With OpenAI, xAI, Anthropic, and others also developing multi-agent models, the release of Deep Think may mark a new phase in AI's evolution from single, large models to swarms of intelligent agents.

Imagine what happens when your AI doesn't just answer questions, but helps you conceive, reason, and refine your ideas?