Core Insights - Google has officially launched the Gemini 2.5 Deep Think model for Google AI Ultra subscribers, marking a new phase in the competition of large language models with enhanced reasoning capabilities [1] - The model is an upgrade from the Gemini 2.5 Pro series, utilizing a new research approach to improve answer quality through multi-hypothesis reasoning while optimizing for everyday use cases [1] Technical Positioning - The Gemini 2.5 Deep Think model retains its core advantage in multi-step reasoning from its predecessor, which won a gold medal at the International Mathematical Olympiad (IMO), but has been optimized for daily applications [2] - This optimization has resulted in a drop in performance to a bronze medal level in IMO benchmark tests, reflecting a trade-off between precision and efficiency necessary for practical use [2] Performance Breakthrough - Third-party testing indicates that Gemini 2.5 Deep Think excels in various authoritative benchmarks, achieving superior accuracy in fields such as humanities and social sciences in the MMLU (Massive Multitask Language Understanding) test [3] - The model shows significant improvement in solving complex arithmetic problems in the GSM8K dataset and ranks highly in syntax correctness and logical completeness for code generation tasks in Python and Java [3] - The underlying "multi-hypothesis reasoning" framework allows the model to generate multiple reasoning paths before arriving at the optimal solution, particularly beneficial for step-by-step proof scenarios [3] User Experience - Currently, Gemini 2.5 Deep Think is available exclusively to Google AI Ultra subscribers, following Google's strategy of prioritizing high-end features for paying users [4] - The model supports long text processing, real-time translation, and code explanation, with optimizations for vertical fields like education and programming [4] - The subscription model raises discussions about technology accessibility, as it may widen the experience gap between different user groups compared to competitors' tiered pricing strategies [4] - The launch of Gemini 2.5 Deep Think reflects a shift in the industry focus from parameter scale competition to reasoning efficiency, scenario adaptation, and user experience [4]