Google has begun deploying Gemini 2.5 Deep Think, marking the debut of its first publicly available multi-agent AI model. As promised during Google I/O 2025, access is now rolling out to subscribers of the company’s Ultra plan, priced at $250 per month. This release pits Google against competitors like xAI and OpenAI in the race to dominate advanced AI reasoning.
The model operates on a unique principle of parallel processing, where multiple AI agents simultaneously explore different approaches to a problem. These agents then collaborate to select the optimal response, a method that leverages significant computational resources for enhanced accuracy.
Google claims this approach pays off, with Gemini 2.5 Deep Think achieving a standout 34.8% score on Humanity’s Last Exam — a rigorous test spanning math, humanities, and science — outpacing xAI’s Grok 4 at 25.4% and OpenAI’s o3 at 20.3%. The gap widens further on LiveCodeBench, a benchmark for competitive coding, where Deep Think scores 87.6%, compared to 79% for Grok 4 and 72% for o3.
Grok 4, xAI’s rival offering, also features a multi-agent version, available for $300 per month. This positions both companies in a premium-tier showdown, catering to users willing to pay for cutting-edge capabilities. While Grok 4’s performance trails Deep Think on these benchmarks, xAI has yet to disclose full details, leaving room for speculation about its potential strengths.
Google isn’t stopping at the initial rollout. The company plans to open access to the Gemini API in the coming weeks, inviting a select group of developers to test the model’s practical applications.
This move aims to gather real-world feedback, potentially refining Deep Think’s capabilities and expanding its use cases. However, the high subscription cost and the computational intensity of multi-agent systems raise questions about whether this technology will remain exclusive to deep-pocketed users or evolve into a broader toolset.
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As the AI landscape heats up, Google’s early lead in benchmark performance suggests a strategic edge, but the industry’s trajectory — marked by rising costs and competing innovations — hints at a fierce battle ahead.
Whether Deep Think’s parallel reasoning truly revolutionizes problem-solving or simply amplifies the arms race among tech giants remains to be seen.
