3 6 Ke·2026-02-13 10:30Core Insights - Google has launched the Gemini 3 Deep Think inference-enhanced version, designed to expand the capabilities of intelligent systems in complex tasks, particularly in scientific research and engineering applications [1] - The new version introduces "Inference-time Compute," allowing for multi-step reasoning and improved accuracy in structural consistency verification and engineering task resolution [1][6] Pricing and Subscription Model - For individual professional users seeking maximum output, Deep Think is included in the highest tier of the Google AI Ultra plan, costing $249.99 per month (approximately 1800 RMB), offering unlimited deep reasoning access, 30TB of storage, and priority computational response [1] - For developers and enterprises, API access is charged based on usage: $2 for every million tokens input and $12 for every million tokens output [1] Performance and Achievements - Gemini 3 Deep Think's prototype gained recognition at the International Mathematical Olympiad 2025, solving 5 out of 6 difficult problems in 4.5 hours, achieving a score of 35, equivalent to a gold medal level [2] - The model scored 3455 Elo on the Codeforces competitive programming platform, ranking it as a "Legendary Grandmaster," indicating its top-tier status in complex algorithm design and problem-solving [4] - In the ARC-AGI-2 test, Deep Think achieved a record score of 84.6% without internet access, demonstrating its capability for few-shot abstract induction and logical discovery [4] Applications in Research and Engineering - Deep Think has been utilized in various research scenarios, such as reviewing a complex mathematical paper in high-energy physics, where it identified a subtle logical flaw that had gone unnoticed by peer reviewers [10] - At Duke University, Deep Think optimized a manufacturing method for complex crystal growth, achieving precision in developing semiconductor materials [11] - In engineering applications, Deep Think accelerated the design of physical components by automatically recognizing spatial relationships and generating executable modeling scripts, which can directly drive 3D printing [13] API and Industry Integration - With the release of Deep Think, an Early Access Program for the Gemini API has been initiated, allowing enterprises and research institutions to integrate the model into their internal databases for various applications, including circuit logic consistency checks and experimental data structure analysis [14] - Google aims to prioritize support for research and industrial teams in energy modeling, new material development, and biomedicine through this early access initiative [14]