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XRP $0.5234 -0.32%
ADA $0.8004 +3.54%
AVAX $32.11 +1.93%
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Google's Gemini 2.5 Deep Think Uses Multiple AI Agents to Tackle a Single Problem
multi-agent-systems

Google's Gemini 2.5 Deep Think Uses Multiple AI Agents to Tackle a Single Problem

Google's Gemini 2.5 Deep Think uses multiple AI agents in parallel, achieving record-breaking results in knowledge and reasoning tests.

August 5, 2025
5 min read
@ExtremeTech

Google's Gemini 2.5 Deep Think uses multiple AI agents in parallel, achieving record-breaking results in knowledge and reasoning tests.

Google DeepMind has unveiled Gemini 2.5 Deep Think, its latest AI reasoning model engineered to address complex inquiries by simultaneously deploying multiple AI agents. Each agent tackles the problem from a distinct perspective, and their collective insights yield more precise and thorough answers compared to single-agent models. Gemini 2.5 Deep Think represents Google's inaugural publicly accessible multi-agent AI model. While this approach necessitates greater computational resources, it delivers superior outcomes. A customized iteration of this model even secured a gold medal at the 2025 International Math Olympiad, underscoring its advanced reasoning capabilities. According to a Google blog post, Gemini 2.5 Deep Think established new performance benchmarks on challenging evaluations such as Humanity’s Last Exam (HLE) and LiveCodeBench 6. On HLE, which assesses knowledge across diverse domains including mathematics, humanities, and science, Gemini 2.5 achieved a score of 34.8%, surpassing competitors like Grok 4 (25.4%) and OpenAI’s o3 (20.3%). On LiveCodeBench 6, a rigorous coding benchmark, it attained an 87.6% score, exceeding Grok 4's 79% and OpenAI o3's 72%. The model integrates novel reinforcement learning techniques that enhance each agent's reasoning process, facilitating more detailed and accurate step-by-step problem-solving. Furthermore, Gemini 2.5 Deep Think is equipped with tools such as code execution and search capabilities, enabling it to provide more extended and comprehensive responses to complex queries. Currently, Gemini 2.5 Deep Think is available to subscribers of Google’s $250-per-month Ultra plan through the Gemini app. Google intends to broaden access to select developers shortly via the Gemini API.

FAQ

Model Capabilities and Performance

Q: What is Gemini 2.5 Deep Think? A: Gemini 2.5 Deep Think is Google's new AI reasoning model that uses multiple AI agents simultaneously to answer complex queries, offering more accurate and thorough results than single-agent models. Q: How does Gemini 2.5 Deep Think achieve superior results? A: It deploys multiple AI agents, each approaching a problem from a different perspective. Their combined insights lead to more accurate and comprehensive answers. Q: What benchmarks has Gemini 2.5 Deep Think excelled in? A: It has set new performance records on benchmarks like Humanity’s Last Exam (HLE) and LiveCodeBench 6, outperforming competitors like Grok 4 and OpenAI's o3. Q: What was Gemini 2.5 Deep Think's performance on Humanity’s Last Exam (HLE)? A: It scored 34.8%, surpassing Grok 4 (25.4%) and OpenAI’s o3 (20.3%). Q: What was Gemini 2.5 Deep Think's performance on LiveCodeBench 6? A: It achieved an 87.6% score, outperforming Grok 4 (79%) and OpenAI o3 (72%). Q: What advanced techniques does Gemini 2.5 Deep Think incorporate? A: It features new reinforcement learning techniques to enhance agent reasoning and includes tools like code execution and search capabilities for more detailed responses.

Access and Availability

Q: Who can access Gemini 2.5 Deep Think? A: Currently, subscribers of Google’s $250-per-month Ultra plan can access it via the Gemini app. Google also plans to offer access to select developers through the Gemini API soon. Q: What is the cost to access Gemini 2.5 Deep Think? A: Access is currently available to subscribers of Google's $250-per-month Ultra plan.

Real-World Applications

Q: Has Gemini 2.5 Deep Think demonstrated its capabilities in real-world competitions? A: Yes, a customized version of the model won a gold medal at the 2025 International Math Olympiad.

Crypto Market AI's Take

The advancements in AI reasoning models like Google's Gemini 2.5 Deep Think highlight a significant trend towards more sophisticated and capable AI systems. This parallel approach, where multiple specialized agents collaborate, mirrors the complex strategies often employed in financial markets, including cryptocurrency trading. At Crypto Market AI, we leverage the power of AI agents for tasks ranging from real-time market analysis to developing sophisticated AI-powered crypto trading bots. Our platform aims to provide users with cutting-edge tools and insights, akin to how DeepMind's multi-agent system tackles complex problems, thereby enabling smarter decision-making in the volatile crypto landscape.

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Source: ExtremeTech