量子位·2025-12-05 05:33Core Viewpoint - Google has launched its latest model, Gemini 3 Deep Think, which significantly enhances reasoning capabilities, particularly in complex mathematics, science, and logic problems [2][9]. Group 1: Model Features and Performance - Gemini 3 Deep Think allows for iterative reasoning, enabling multi-round refinement of code to produce more detailed results in visualization, prototyping, and experimentation [9]. - The model achieved an accuracy of 41.0% on the Humanity's Last Exam benchmark, outperforming GPT-5 Pro by 10 percentage points [10]. - In the ARC-AGI-2 benchmark, the code execution accuracy reached 45.1%, surpassing Gemini 3 Pro by 14% and GPT-5.1 by nearly 30% [11]. - The underlying technology of this model is derived from Gemini 2.5 Deep Think, which has previously won gold medals in prestigious competitions like IMO and ICPC [14]. Group 2: User Reception and Pricing Concerns - Gemini 3 Deep Think is currently available only to Ultra members at a monthly fee of $249.9, approximately 1800 RMB, leading to dissatisfaction among Pro users who feel excluded [18]. - Users expressed frustration over the lack of trial access or pay-per-use options, questioning the value of the Ultra membership [21][22]. - The pricing strategy has resulted in a lukewarm reception for Gemini 3 Deep Think, with many users criticizing the high cost and lack of transparency regarding its value [24][27]. Group 3: Competitive Landscape - The recently updated DeepSeek-V3.2 has shown competitive reasoning capabilities, closely matching Gemini 3 Pro and winning accolades in major competitions, which poses a challenge to Gemini 3 Deep Think [25]. - DeepSeek is open-source, contrasting with Google's closed-source approach and high pricing, which has contributed to user dissatisfaction [26][27].