Google Gemini Deep Think Launched: A New Frontier in AI

Google Gemini has just unveiled its latest and most powerful feature to date: Deep Think. This new capability is poised to revolutionize how users interact with AI, setting a new benchmark for performance and versatility. Deep Think not only surpasses previous models, including ChatGPT-3 Pro, but also effectively replaces Google’s earlier Deep Research feature, offering unprecedented analytical and creative prowess.

What is Deep Think and How Does It Work?

Deep Think represents a significant leap forward in AI capabilities. It has crushed all different benchmarks, demonstrating superior performance in reasoning, knowledge, mathematics, and code generation. For instance, in mathematics, it is two times better than Gemini 2.5 Pro, which was previously considered the best in that area. It even surpasses Grok 4, a model that itself was a significant step function above existing AI just weeks before Deep Think’s release.

From a technical standpoint, Deep Think employs an innovative approach that sets it apart. When you pose a problem or question to Deep Think, it spins up multiple versions of Gemini in the background. These individual instances then all think about the same problem but from different perspectives, much like having a single person replicate themselves a hundred times to explore a hundred different ways of solving an issue. All these thought processes then converge on each other to generate new and more comprehensive answers. This method has already led to breakthroughs, with mathematicians using it to confirm the solvability of complex problems, which Deep Think then solved in various new ways.

How to Access and Use Deep Think

Using Deep Think is straightforward:

• Simply open a new window on Gemini.
• Click on the “Deep Think” option.
• Then, you can prompt it with your query.
• Deep Think supports various input types, including CSV files, videos, photos, and PDFs, in addition to standard text prompts.

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Unpacking Deep Think’s Performance and Capabilities

Deep Think’s capabilities extend far beyond just coding and mathematics; it also excels in creativity and complex analysis.

A Leap in Creativity: Voxel Art Scene Generation

To showcase its creative potential, Deep Think was tasked with designing an elaborate voxel art scene of a pagoda in a beautiful garden, complete with cherry blossoms. The results were compared against Gemini 2.5 Flash and Gemini 2.5 Pro:

• Gemini 2.5 Flash produced an incredibly basic output.
• Gemini 2.5 Pro created a more advanced but still “gamey” and pixelated scene, lacking realism.
• In stark contrast, Gemini 2.5 Deep Think delivered a much better and more detailed answer, demonstrating its superior creative generation capabilities.

Advanced Financial Analysis

Deep Think was put to the test with a significant amount of financial data for an ETF (VGT), comprising 5,400 rows and approximately 35,000 data points (seven columns of data) since January 30th, 2004, including open, high, low, close, adjusted close, and volume. Posing as a financial analyst expert, Deep Think was asked to perform a complex analysis and predict the ETF’s movement for the next day, incorporating news, sentiment, and historical information.

Deep Think’s analytical process for this task included:

1. Commencing data analysis.
2. Evaluating market sentiment.
3. Weighing all different factors.
4. Refining the prognosis.
5. Evaluating the dynamics.

The output provided a comprehensive report, including:

• Historical and technical analysis: Processing provided data to identify trends, calculate key shifts, analyze price action (noting a significant drop), volume, moving averages, relative strength index (RSI), and MACD, leading to a short-term bearish technical conclusion.
• News and sentiment analysis: Analyzing relevant news and sentiment around the ETF.
• Synthesis and prediction: Identifying a critical juncture, presenting both bullish and bearish cases, and ultimately concluding with a prediction for continued downward movement. This demonstrates Deep Think’s ability to not only process vast datasets but also to integrate real-time information for informed predictions.

Generating Strategic Prompts

Deep Think was also used to generate prompts for a YouTube video showcasing its own capabilities. This meta-task revealed its structured thinking process for content creation:

• Formulating video concepts.
• Pinpointing video objectives.
• Refining the structure and creating an outline.
• Finalizing the strategy and generating engaging, structured prompts for YouTube content.

The prompts generated covered several fascinating categories:

• Creativity and world-building: Such as writing a five-minute screenplay scene or developing a product invention.
• Complex problem-solving and strategy: Including challenges for a CEO, urban planning dilemmas, or crisis management simulations.
• Philosophical and ethical reasoning: Like a modern trolley problem involving self-driving cars.
• Explaining the unexplainable.
• An “impossible meta prompt”: Asking Deep Think to analyze a series of prompts given to Gemini to infer the user’s goals and strategy, thereby suggesting what the user should actually be asking.

Limitations and Considerations

While incredibly powerful, Deep Think currently has a few limitations:

• Daily Search Limit: Users are currently limited to approximately four to six Deep Think searches per day. This is a temporary measure, and Google typically removes such limits as features roll out more widely, with API access expected soon.
• Image-Based Location Identification: In one specific test, Deep Think faced a challenge. When given a screenshot of a house and asked to determine its exact location, it could only identify the general region (Southeast US, which was correct for North Carolina). A follow-up question to find the exact address led to an incorrect numerical identification, despite Deep Think zooming in and cropping the image. This was contrasted with ChatGPT-3 Pro, which, after an initial incorrect guess, was able to zoom in further and accurately determine the exact address. This was noted as the only instance where Deep Think was observed to be less effective than ChatGPT-3 Pro.

Conclusion

Google Gemini’s Deep Think is undeniably a groundbreaking feature that demonstrates immense power in reasoning, knowledge, mathematics, code generation, creativity, and complex analytical tasks like financial forecasting. While it has a temporary usage limit and showed one specific weakness in pinpointing exact addresses from images compared to ChatGPT-3 Pro, its overall performance and unique ‘multi-Gemini’ thinking approach make it a truly impressive tool. As AI continues to evolve rapidly, Deep Think signals a new era of sophisticated problem-solving and creative output, pushing the boundaries of what large language models can achieve.