Gemini 2.5 Deep Think - AI inference model from Google

What is Gemini 2.5 Deep Think?

Gemini 2.5 Deep Think is an AI reasoning model from Google designed to solve complex tasks. A variant of the model that won the gold medal at the International Mathematical Olympiad (IMO) 2025, Deep Think uses Parallel Thinking and Reinforcement Learning to explore multiple solutions at once, validate them against each other, optimize them, and ultimately arrive at the best possible answer.Deep Think is particularly adept at handling complex mathematical problems, algorithm design, scientific reasoning, and creative development tasks. Deep Think In terms of performance, Deep Think excels in several benchmarks, such as achieving the highest score of 34.8% in HLE, near perfect score in AIME 2025, and high score of 87.6% in LiveCodeBench V6. Able to generate more detailed and creative outputs, and perform well in complex tasks, Deep Think is only available to Google AI Ultra subscribers for a monthly fee of $249.99 (about Rs. 1,800), with a fixed daily usage limit.

Key Features of Gemini 2.5 Deep Think

• parallelism: Deep Think generates and evaluates multiple ideas simultaneously through parallel thinking techniques. It will explore multiple solutions at the same time, verify and optimize each other, and finally arrive at the best answer. It is similar to human's multi-perspective thinking in solving complex problems.
• Intensive learning: With new reinforcement learning techniques, Deep Think is able to optimize its reasoning paths over time and become even better at solving problems.
• Mathematics and Algorithms: Deep Think excels in math and algorithm design. Able to solve complex mathematical problems, such as winning a gold medal at the International Mathematical Olympiad (IMO) 2025 and scoring near perfect in AIME 2025.
• scientific reasoning: Deep Think helps researchers formulate and validate mathematical conjectures, reason about complex scientific literature, and accelerate the process of scientific discovery.
• Iterative development: Deep Think excels in tasks that require building complex things in steps. For example, in web design, game scenario modeling, and product prototype optimization, it can improve both the aesthetics and functionality of a project.
• 体素艺术: When generating complex creative designs such as voxel art, Deep Think produces richer, more detailed output with significantly more detail and aesthetics than other versions of the Gemini model.
• Difficult Programming Problems: Deep Think excels at programming problems that require precise problem formulation, trade-offs, and time complexity. It helps programmers disassemble problems, model algorithms, and progressively approximate optimal solutions.
• code optimization: In the LiveCodeBench V6 test, Deep Think achieved a high score of 87.6%, demonstrating its strong capabilities in code optimization and algorithm design.
• Content security and objectivity: Deep Think's content security and objectivity has been improved over Gemini 2.5 Pro to better handle sensitive and complex content.
• Rejection of benign requests: Although the tendency to reject benign requests has increased, ensuring the rigor and security of the model when dealing with complex tasks.

Project address for Gemini 2.5 Deep Think

• Project website:: https://blog.google/products/gemini/gemini-2-5-deep-think/
• Technical Papers:: https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Deep-Think-Model-Card.pdf

How to Use Gemini 2.5 Deep Think

• pre-conditions
  • Subscribe to Google AI Ultra: Deep Think is only available to Google AI Ultra subscribers. The subscription cost is $249.99 per month (approximately Rs. 1,800). Users should visit ai.google.com, sign in with their Google account, select the AI Ultra plan and complete payment. It should be noted that Google AI Ultra is currently only available in some countries and regions, and users in mainland China may need to use a special network environment to access it, and the payment method only supports major international credit cards.
  • At least 18 years of age: To use the Deep Think feature, you need to be at least 18 years old.
  • Log in to the Gemini app: Users will need to be logged into the Gemini app; this feature is not currently available through work/school Google accounts.
• Turn on Deep Think Mode
  • Select Model: Open gemini.google.com or the Gemini app on your phone and select "Gemini 2.5 Pro" in the model selection dropdown.
  • Enable Deep Think: Above the input box, click the "Think Mode" switch or the brain icon to manually enable Deep Think.
  • Input Issues: Enter the complex problem to be solved in the text box at the bottom.
  • Sending issues: Check that the Deep Think icon is lit (it usually appears blue or purple) and click Send.
  • Waiting for an answer:Deep Think can take anywhere from 30 seconds to 5 minutes to generate an answer, depending on the complexity of the question. While waiting, the user can see a visualization of the progress of the thinker and see the different ideas it is exploring. The user can also exit the current conversation and start a new one. Gemini notifies the user when the answer is complete. In the web app, the notification is displayed next to the corresponding dialog string; in the mobile app, the notification is displayed as a device notification.

Technical Principles of Gemini 2.5 Deep Think

• multithreaded reasoning: Deep Think generates and considers multiple ideas simultaneously, revising or blending different ideas over time to arrive at the best answer.
• Extended thinking time: By extending the inference time, the model has more opportunities to explore different hypotheses and find more creative solutions to complex problems.
• Optimizing the inference path: Reinforcement learning techniques enable Deep Think to optimize its reasoning paths over time to become a better, more intuitive problem solver.
• dynamic adjustment: Users can set thinking budgets to balance performance and cost.
• Sparse Mixed Expert (MoE) Architecture: Deep Think is based on a sparse hybrid expert architecture that allows the model to activate each input token of a subset of model parameters. Specific features include:
  • dynamic routing: The model decouples between the total model capacity and the computational and service cost per token by learning to dynamically route tokens to a subset of parameters (experts).
  • Efficient computing: This architecture allows the model to efficiently process large-scale inputs while maintaining high performance.

Gemini 2.5 Deep Think vs Gemini 2.5 Pro

Application Scenarios for Gemini 2.5 Deep Think

Application scenarios for Gemini 2.5 Deep Think include: math and algorithms, reaching gold level in the International Mathematical Olympiad (IMO) and approaching perfect scores in AIME 2025. Scientific reasoning, helping researchers formulate and validate mathematical conjectures and reason about complex scientific literature. Creativity and design, excelling in tasks such as web design and game scene modeling, generating richer, more detailed output. Students and educators, aiding in solving complex math and science problems.