Artificial intelligence is moving faster than ever. Every week, companies release new AI models and tools. Every day, developers are finding new ways to use AI to solve real problems. On December 11, 2025, Google made a big move in this fast-moving world by launching its newest AI research agent, Gemini Deep Research, on the same day that OpenAI released GPT-5.2.
This timing shows that the race for AI is not slowing down. Google wants to make sure it stays at the top. Its new agent is built on Gemini 3 Pro, Google’s latest and most advanced AI model. This version of the research agent is not just for writing reports. It can also help developers use Google’s AI research tools in their own applications. Google made this possible with a new tool called the Interactions API. This API gives developers more control and flexibility in the new world of AI agents that can act autonomously.
What Gemini Deep Research Can Do
Gemini Deep Research is designed to handle very complex research tasks. It can read and process a huge amount of information at once. Companies are already using it for tasks such as due diligence in business deals and checking drug safety in medical research. It can understand a lot of context at once, which makes it useful for deep research problems that take hours or even days to complete.
Google plans to integrate Gemini Deep Research into many of its services soon. This includes Google Search, Google Finance, the Gemini App, and NotebookLM, which is a popular note-taking tool powered by AI. By embedding the agent into these services, Google is preparing for a future where people may rely more on AI agents to find answers than on searching manually.
Reduction of Mistakes in AI
One of the biggest problems with AI is something called hallucinations. This is when an AI model makes up information instead of giving real facts. For long and complicated tasks, even one wrong answer can make the whole result useless. Google says Gemini Deep Research is built to reduce these mistakes. Gemini 3 Pro, the model behind the agent, is trained to be very accurate and to give factual information during complex tasks.
Testing of the AI Agent
Google also created a new benchmark to test its AI agent called DeepSearchQA. This benchmark measures how well an AI can handle multi-step research tasks. Google has made it open source so other developers can use it too.
In addition, Google tested Gemini Deep Research on two other benchmarks. One is called Humanity’s Last Exam, which tests general knowledge with very detailed and niche questions. The other is BrowserComp, which tests tasks done in a web browser. According to Google, Gemini Deep Research performed very well and outperformed other agents on its own benchmark and on Humanity’s Last Exam. OpenAI’s ChatGPT 5 Pro was a close second and slightly better on BrowserComp.
The Race with OpenAI
The day Google launched Gemini Deep Research, OpenAI released GPT-5.2, codenamed Garlic. OpenAI claims its new model is stronger than competitors, including Google, in several benchmark tests. This shows how competitive the AI space has become. Every company is racing to build models that are faster, smarter, and more accurate.
Why This Matters
The launch of Gemini Deep Research is important for several reasons. It shows that Google is focusing on AI agents that can do real work and help people and businesses. It also shows that infrastructure and accuracy are becoming just as important as the AI model itself. By giving developers more tools like the Interactions API, Google is making it easier for AI to be used in everyday applications.
Finally, this launch demonstrates how companies are thinking about the future. Humans may no longer need to search for information manually. Instead, AI agents could do the research, summarize the information, and give answers directly.
The Bottom Line
Google’s Gemini Deep Research agent is a big step forward for AI. It combines advanced AI models with tools that let developers use AI in new ways. At the same time, OpenAI is pushing forward with GPT-5.2, showing that competition in AI is fiercer than ever. For businesses, developers, and AI enthusiasts, this is an exciting time. The tools available today are faster, smarter, and more capable than ever before, and the race to build the most powerful AI is just getting started.
By creating AI agents that can research deeply and accurately, Google is preparing for a world where AI may do the work humans used to do. Gemini Deep Research is just one example of how AI is evolving to meet that challenge.
Also Read: Google’s Answer to the AI Arms Race Is to Promote the Guy Behind Its Data Center Tech
