Quick Read
- Google upgraded Gemini 3 Deep Think for complex scientific and engineering problems.
- The AI scored 48.4% on Humanity’s Last Exam and 84.6% on ARC-AGI-2.
- It achieved gold medal-level performance in the 2025 International Math, Physics, and Chemistry Olympiads.
- Deep Think can detect logical errors in research papers and generate 3D-printable files from sketches.
- Access is available to Google AI Ultra subscribers and limited API early access users.
WASHINGTON (Azat TV) – Google has rolled out a significant upgrade to Gemini 3 Deep Think, its advanced reasoning mode, intensifying the company’s push at the frontier of artificial intelligence. The enhancement, announced on February 13, 2026, is designed to tackle complex, open-ended problems across science, research, and engineering, demonstrating state-of-the-art results across demanding benchmarks and signaling a shift towards more deliberate, real-world AI applications.
Sundar Pichai, Google’s CEO, confirmed the update on X, stating that the company had refined Deep Think in close partnership with scientists and researchers to address practical, real-world challenges where data might be incomplete, rules ambiguous, and outcomes not strictly defined. This collaboration aims to move the system from abstract reasoning to applied problem-solving, enhancing its ability to analyze complex datasets, reason about physical systems, and translate scientific understanding into executable code.
Gemini 3 Deep Think Sets New Benchmarks
The upgraded Gemini 3 Deep Think has achieved remarkable scores across several key benchmarks used to assess advanced reasoning models. According to Google, the system scored 48.4 percent on Humanity’s Last Exam without using external tools, a rigorous test designed to probe the limits of modern AI reasoning. It also secured 84.6 percent on ARC-AGI-2, a reasoning-focused benchmark verified by the ARC Prize Foundation, which emphasizes adaptability over memorization.
Beyond general reasoning, Deep Think showcased elite competitive programming capabilities, reaching an Elo rating of 3455 on Codeforces. In academic competitions, the model delivered gold medal-level performance at the International Math Olympiad 2025. Its prowess extends to scientific disciplines, posting gold medal-level scores on the written components of the 2025 International Physics Olympiad and Chemistry Olympiad, and achieving 50.5 percent on the CMT-Benchmark, which focuses on advanced theoretical physics, as reported by Storyboard18.
Practical Applications and Broader AI Impact
Google is positioning Deep Think not merely as a benchmark performer but as a robust, working tool for researchers and engineers. The company highlighted its ability to detect subtle logical errors in technical research papers, mistakes that human reviewers might miss, offering a powerful tool for academic and scientific communities. In practical engineering, one example showed the model taking a hand-drawn sketch, analyzing its geometry, and generating a 3D-printable file, demonstrating real-world utility for rapid prototyping and product design, according to Ghacks.net.
The advancements in Gemini 3 Deep Think also underpin other significant breakthroughs within Google’s AI ecosystem. DeepMind, a Google division, introduced Aletheia, an AI agent built on the Gemini Deep Think platform. Aletheia set a new record in the IMO-ProofBench Advanced benchmark, solving 91.9% of tasks, and has autonomously solved four problems from the Erdős list, one of which was previously considered open. This agent is equipped with a verification module to identify errors and uses Google Search to navigate complex scientific materials, preventing false links and computational errors, Forklog.com reported.
Additionally, Isomorphic Labs, a DeepMind subsidiary, unveiled the IsoDDE engine for drug development. This innovation outperformed AlphaFold 3 in prediction accuracy by a factor of two in complex tests. IsoDDE can predict binding strength more accurately, identify hidden structures in proteins where drugs can bind, and supports a wide range of complex molecules, offering a scalable framework for AI-driven drug design.
Access to Gemini 3 Deep Think
The upgraded Gemini 3 Deep Think is currently available within the Gemini app for Google AI Ultra subscribers. Google is also opening access through the Gemini API to a limited group of researchers, engineers, and enterprises as part of an early access program. Broader availability will depend on feedback from these early users, as Google aims to integrate Deep Think more deeply into real research and engineering workflows, making Google AI Ultra a testbed for advanced experimental features.
The strategic upgrade to Gemini 3 Deep Think underscores Google’s commitment to advancing AI beyond theoretical capabilities, emphasizing its role as a practical tool for scientific discovery and engineering innovation. The tangible achievements in benchmarks and real-world applications, alongside its foundational role in agents like Aletheia and engines like IsoDDE, indicate a maturing phase for AI, where complex reasoning directly translates into solving some of humanity’s most challenging problems.

